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ORCIDIan R. Manchester
Person information
- affiliation: University of Sydney, Australian Centre for Field Robotics (ACFR), Sydney, NSW, Australia
- affiliation (PhD 2006): University of New South Wales, Sydney, NSW, Australia
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2020 – today
- 2024
[j29]Bowen Yi
, Lei Wang, Ian R. Manchester:
Attitude Estimation From Vector Measurements: Necessary and Sufficient Conditions and Convergent Observer Design. IEEE Trans. Autom. Control. 69(1): 511-518 (2024)- [i64]Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester:
Learning Stable Koopman Embeddings for Identification and Control. CoRR abs/2401.08153 (2024) - [i63]Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester:
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. CoRR abs/2402.01344 (2024) - [i62]Dongjun Wu, Bowen Yi, Ian R. Manchester:
Control contraction metrics on Lie groups. CoRR abs/2403.15264 (2024) - 2023
- [j28]Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi:
Differential initial-value privacy and observability of linear dynamical systems. Autom. 148: 110722 (2023) - [j27]Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester:
Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. IEEE Control. Syst. Lett. 7: 91-96 (2023) - [j26]Vera L. J. Somers, Ian R. Manchester:
Minimizing the Risk of Spreading Processes via Surveillance Schedules and Sparse Control. IEEE Trans. Control. Netw. Syst. 10(1): 394-406 (2023) - [c62]Ruigang Wang, Armaghan Zafar, Ian R. Manchester:
Model Predictive Control of Spreading Processes via Sparse Resource Allocation. ACC 2023: 4320-4325 - [c61]Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester:
Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CDC 2023: 1028-1033 - [c60]Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate:
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CDC 2023: 3043-3048 - [c59]Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer:
Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian. CDC 2023: 5345-5350 - [c58]Ruigang Wang, Ian R. Manchester:
Direct Parameterization of Lipschitz-Bounded Deep Networks. ICML 2023: 36093-36110 - [i61]Ruigang Wang, Ian R. Manchester:
Direct Parameterization of Lipschitz-Bounded Deep Networks. CoRR abs/2301.11526 (2023) - [i60]Vera L. J. Somers, Ian R. Manchester:
Sparse Resource Allocation for Spreading Processes on Temporal-Switching Networks. CoRR abs/2302.02079 (2023) - [i59]Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer:
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian. CoRR abs/2303.11835 (2023) - [i58]Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate:
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CoRR abs/2304.02976 (2023) - [i57]Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester:
Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CoRR abs/2304.06193 (2023) - [i56]Nicholas H. Barbara, Max Revay, Ruigang Wang, Jing Cheng, Ian R. Manchester:
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness. CoRR abs/2306.12612 (2023) - [i55]Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Viorela Ila, Ian R. Manchester:
PEBO-SLAM: Observer design for visual inertial SLAM with convergence guarantees. CoRR abs/2306.12723 (2023) - [i54]Bowen Yi, Ian R. Manchester:
On IMU preintegration: A nonlinear observer viewpoint and its application. CoRR abs/2307.04165 (2023) - 2022
- [j25]Bowen Yi, Chi Jin, Ian R. Manchester:
Globally convergent visual-feature range estimation with biased inertial measurements. Autom. 146: 110639 (2022) - [j24]Max Revay, Jack Umenberger, Ian R. Manchester:
Distributed Identification of Contracting and/or Monotone Network Dynamics. IEEE Trans. Autom. Control. 67(7): 3410-3425 (2022) - [j23]Bowen Yi, Ruigang Wang, Ian R. Manchester:
Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization. IEEE Trans. Autom. Control. 67(8): 4045-4060 (2022) - [c57]Ruigang Wang, Ian R. Manchester:
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. ACC 2022: 2116-2123 - [c56]Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester:
Learning Stable Koopman Embeddings. ACC 2022: 2742-2747 - [c55]Vera L. J. Somers, Ian R. Manchester:
Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks. ACC 2022: 3632-3639 - [i53]Bowen Yi, Lei Wang, Ian R. Manchester:
Attitude estimation from vector measurements: Necessary and sufficient conditions and convergent observer design. CoRR abs/2206.13058 (2022) - [i52]Ruigang Wang, Armaghan Zafar, Ian R. Manchester:
Model Predictive Control of Spreading Processes via Sparse Resource Allocation. CoRR abs/2210.15798 (2022) - 2021
- [j22]Vera L. J. Somers, Ian R. Manchester:
Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization. IEEE Control. Syst. Lett. 5(2): 547-552 (2021) - [j21]Max Revay, Ruigang Wang, Ian R. Manchester:
A Convex Parameterization of Robust Recurrent Neural Networks. IEEE Control. Syst. Lett. 5(4): 1363-1368 (2021) - [c54]Bowen Yi, Ruigang Wang, Ian R. Manchester:
Reduced-order observers for nonlinear systems via contraction analysis and convex optimization. ACC 2021: 411-416 - [c53]Max Revay, Ruigang Wang, Ian R. Manchester:
A Convex Parameterization of Robust Recurrent Neural Networks. ACC 2021: 2824-2829 - [c52]Max Revay, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CDC 2021: 2282-2287 - [c51]Ian R. Manchester, Max Revay, Ruigang Wang:
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CDC 2021: 2955-2962 - [c50]Bowen Yi, Ian R. Manchester:
On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control. CDC 2021: 4609-4614 - [c49]Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester:
An almost globally convergent observer for visual SLAM without persistent excitation. CDC 2021: 5441-5446 - [i51]Lei Wang, Yang Liu, Ian R. Manchester, Guodong Shi:
Differentially Private Distributed Computation via Public-Private Communication Networks. CoRR abs/2101.01376 (2021) - [i50]Bowen Yi, Ian R. Manchester:
On the equivalence of contraction and Koopman approaches for nonlinear stability and control. CoRR abs/2103.15033 (2021) - [i49]Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester:
An almost globally convergent observer for visual SLAM without persistent excitation. CoRR abs/2104.02966 (2021) - [i48]Ruigang Wang, Patrick J. W. Koelwijn, Ian R. Manchester, Roland Tóth:
Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics. CoRR abs/2104.04917 (2021) - [i47]Max Revay, Ruigang Wang, Ian R. Manchester:
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CoRR abs/2104.05942 (2021) - [i46]Vera L. J. Somers, Ian R. Manchester:
Minimizing the Risk of Spreading Processes via Surveillance Schedules and Sparse Control. CoRR abs/2107.05878 (2021) - [i45]Max Revay, Jack Umenberger, Ian R. Manchester:
Distributed Identification of Contracting and/or Monotone Network Dynamics. CoRR abs/2107.14309 (2021) - [i44]Ian R. Manchester, Max Revay, Ruigang Wang:
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CoRR abs/2110.00207 (2021) - [i43]Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester:
Learning Stable Koopman Embeddings. CoRR abs/2110.06509 (2021) - [i42]Vera L. J. Somers, Ian R. Manchester:
Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks. CoRR abs/2110.07755 (2021) - [i41]Ruigang Wang, Ian R. Manchester:
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. CoRR abs/2112.01253 (2021) - [i40]Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester:
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. CoRR abs/2112.04219 (2021) - [i39]Bowen Yi, Chi Jin, Ian R. Manchester:
Globally convergent visual-feature range estimation with biased inertial measurements. CoRR abs/2112.12325 (2021) - 2020
- [j20]Felix H. Kong, Ian R. Manchester:
Contraction analysis of nonlinear noncausal iterative learning control. Syst. Control. Lett. 136: 104599 (2020) - [c48]Ruigang Wang, Ian R. Manchester:
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. ACC 2020: 1619-1624 - [c47]Bowen Yi, Ruigang Wang, Ian R. Manchester:
On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis. CDC 2020: 2000-2005 - [c46]Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi:
Initial-Value Privacy of Linear Dynamical Systems. CDC 2020: 3108-3113 - [c45]Jack Liell-Cock, Ian R. Manchester, Guodong Shi:
Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems. CDC 2020: 6254-6259 - [c44]Max Revay, Ian R. Manchester:
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. L4DC 2020: 393-403 - [i38]Bowen Yi, Romeo Ortega, Ian R. Manchester, Houria Siguerdidjane:
Path following of a class of underactuated mechanical systems via immersion and invariance-based orbital stabilization. CoRR abs/2001.10325 (2020) - [i37]Vera L. J. Somers, Ian R. Manchester:
Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization. CoRR abs/2003.07555 (2020) - [i36]Ruigang Wang, Roland Tóth, Ian R. Manchester:
Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. CoRR abs/2003.08513 (2020) - [i35]Max Revay, Ruigang Wang, Ian R. Manchester:
Convex Sets of Robust Recurrent Neural Networks. CoRR abs/2004.05290 (2020) - [i34]Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi:
Initial-Value Privacy of Linear Dynamical Systems. CoRR abs/2008.10193 (2020) - [i33]Jack Liell-Cock, Ian R. Manchester, Guodong Shi:
Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems. CoRR abs/2009.02627 (2020) - [i32]Bowen Yi, Ruigang Wang, Ian R. Manchester:
On necessary conditions of tracking control for nonlinear systems via contraction analysis. CoRR abs/2009.08662 (2020) - [i31]Max Revay, Ruigang Wang, Ian R. Manchester:
Lipschitz Bounded Equilibrium Networks. CoRR abs/2010.01732 (2020) - [i30]Bowen Yi, Ruigang Wang, Ian R. Manchester:
Reduced-Order Nonlinear Observers via Contraction Analysis and Convex Optimization. CoRR abs/2012.06158 (2020)
2010 – 2019
- 2019
- [j19]Jack Umenberger, Ian R. Manchester:
Convex Bounds for Equation Error in Stable Nonlinear Identification. IEEE Control. Syst. Lett. 3(1): 73-78 (2019) - [j18]Jack Umenberger, Ian R. Manchester:
Specialized Interior-Point Algorithm for Stable Nonlinear System Identification. IEEE Trans. Autom. Control. 64(6): 2442-2456 (2019) - [j17]Humberto Stein Shiromoto, Max Revay, Ian R. Manchester:
Distributed Nonlinear Control Design Using Separable Control Contraction Metrics. IEEE Trans. Control. Netw. Syst. 6(4): 1281-1290 (2019) - [c43]Ruigang Wang, Ian R. Manchester:
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CDC 2019: 6766-6771 - [c42]A. Mounir Boudali, Peter J. Sinclair, Ian R. Manchester:
Prediction of Smooth Gait Transitioning for Active Lower Limb Prosthetics. EMBC 2019: 2424-2429 - [c41]Vera L. J. Somers, Ian R. Manchester:
Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes. ICRA 2019: 739-745 - [i29]Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi:
Dynamical Privacy in Distributed Computing - Part I: Privacy Loss and PPSC Mechanism. CoRR abs/1902.06966 (2019) - [i28]Ruigang Wang, Ian R. Manchester:
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CoRR abs/1903.08806 (2019) - [i27]Vera L. J. Somers, Ian R. Manchester:
Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes. CoRR abs/1903.11204 (2019) - [i26]Ruigang Wang, Roland Tóth, Ian R. Manchester:
A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. CoRR abs/1905.01811 (2019) - [i25]Ruigang Wang, Ian R. Manchester:
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. CoRR abs/1909.13033 (2019) - [i24]Max Revay, Ian R. Manchester:
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. CoRR abs/1912.10402 (2019) - 2018
- [j16]Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön:
Maximum likelihood identification of stable linear dynamical systems. Autom. 96: 280-292 (2018) - [j15]Ian R. Manchester, Jean-Jacques E. Slotine:
Robust Control Contraction Metrics: A Convex Approach to Nonlinear State-Feedback H∞ Control. IEEE Control. Syst. Lett. 2(3): 333-338 (2018) - [c40]Ian R. Manchester:
Contracting Nonlinear Observers: Convex Optimization and Learning from Data. ACC 2018: 1873-1880 - [c39]Thomas L. Chaffey, Ian R. Manchester:
Control Contraction Metrics on Finsler Manifolds. ACC 2018: 3626-3633 - [c38]Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi:
Gossip Algorithms that Preserve Privacy for Distributed Computation Part I: The Algorithms and Convergence Conditions. CDC 2018: 4499-4504 - [c37]Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi:
Gossip Algorithms that Preserve Privacy for Distributed Computation Part II: Performance Against Eavesdroppers. CDC 2018: 5346-5351 - [c36]Fletcher Fan, Ian R. Manchester:
Robust Control of Dynamic Walking Robots Using Transverse H∞. ICRA 2018: 418-425 - [c35]Felix H. Kong, Ian R. Manchester:
Iterative Learning of Energy-Efficient Dynamic Walking Gaits. IROS 2018: 3815-3820 - [i23]Thomas L. Chaffey, Ian R. Manchester:
Control Contraction Metrics on Finsler Manifolds. CoRR abs/1803.01034 (2018) - [i22]Jack Umenberger, Ian R. Manchester:
Specialized Interior Point Algorithm for Stable Nonlinear System Identification. CoRR abs/1803.01066 (2018) - [i21]Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi:
Privacy-Preserving Gossip Algorithms. CoRR abs/1808.00120 (2018) - [i20]Humberto Stein Shiromoto, Max Revay, Ian R. Manchester:
Distributed Nonlinear Control Design using Separable Control Contraction Metrics. CoRR abs/1810.04794 (2018) - 2017
- [j14]Ruigang Wang, Ian R. Manchester, Jie Bao:
Distributed Economic MPC With Separable Control Contraction Metrics. IEEE Control. Syst. Lett. 1(1): 104-109 (2017) - [j13]Ian R. Manchester, Jean-Jacques E. Slotine:
Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design. IEEE Trans. Autom. Control. 62(6): 3046-3053 (2017) - [j12]Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski:
Convex Parameterizations and Fidelity Bounds for Nonlinear Identification and Reduced-Order Modelling. IEEE Trans. Autom. Control. 62(7): 3679-3686 (2017) - [c34]Karen Leung, Ian R. Manchester:
Nonlinear stabilization via Control Contraction Metrics: A pseudospectral approach for computing geodesics. ACC 2017: 1284-1289 - [c33]Christian Grussler, Jack Umenberger, Ian R. Manchester:
Identification of externally positive systems. CDC 2017: 6549-6554 - [c32]A. Mounir Boudali, Peter J. Sinclair, Richard Smith, Ian R. Manchester:
Human locomotion analysis: Identifying a dynamic mapping between upper and lower limb joints using the Koopman operator. EMBC 2017: 1889-1892 - [c31]A. Mounir Boudali, Felix H. Kong, Javier Martinez, Justin Z. Tang, Ian R. Manchester:
Design and modeling of an open platform for dynamic walking research. ICM 2017: 85-92 - [c30]Justin Z. Tang, A. Mounir Boudali, Ian R. Manchester:
Invariant funnels for underactuated dynamic walking robots: New phase variable and experimental validation. ICRA 2017: 3497-3504 - [i19]Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski:
Convex Parameterizations and Fidelity Bounds for Nonlinear Identification and Reduced-Order Modelling. CoRR abs/1701.06652 (2017) - [i18]Ian R. Manchester, Jean-Jacques E. Slotine:
On Existence of Separable Contraction Metrics for Monotone Nonlinear Systems. CoRR abs/1704.02676 (2017) - [i17]Ian R. Manchester, Thomas L. Chaffey:
An Amendment to "Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design". CoRR abs/1711.08128 (2017) - [i16]Ian R. Manchester:
Contracting Nonlinear Observers: Convex Optimization and Learning from Data. CoRR abs/1711.08135 (2017) - 2016
- [c29]Jack Umenberger, Ian R. Manchester:
Specialized algorithm for identification of stable linear systems using Lagrangian relaxation. ACC 2016: 930-935 - [c28]Jack Umenberger, Ian R. Manchester:
Scalable identification of stable positive systems. CDC 2016: 4630-4635 - [c27]Humberto Stein Shiromoto, Ian R. Manchester:
Decentralized nonlinear feedback design with separable control contraction metrics. CDC 2016: 5551-5556 - [i15]Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön:
Linear System Identification via EM with Latent Disturbances and Lagrangian Relaxation. CoRR abs/1603.09157 (2016) - [i14]Karen Leung, Ian R. Manchester:
Chebyshev Pseudospectral Method for Nonlinear Stabilization using Control Contraction Metrics. CoRR abs/1607.04340 (2016) - [i13]Humberto Stein Shiromoto, Ian R. Manchester:
Decentralized Nonlinear Feedback Design with Separable Control Contraction Metrics. CoRR abs/1609.07237 (2016) - 2015
- [j11]Seunggyun Cheong, Ian R. Manchester:
Input design for discrimination between classes of LTI models. Autom. 53: 103-110 (2015) - [j10]Guilherme J. Maeda, Ian R. Manchester, David C. Rye:
Combined ILC and Disturbance Observer for the Rejection of Near-Repetitive Disturbances, With Application to Excavation. IEEE Trans. Control. Syst. Technol. 23(5): 1754-1769 (2015) - [c26]Felix H. Kong, A. Mounir Boudali, Ian R. Manchester:
Phase-indexed ILC for control of underactuated walking robots. CCA 2015: 1467-1472 - [c25]Ian R. Manchester, Justin Z. Tang, Jean-Jacques E. Slotine:
Unifying Robot Trajectory Tracking with Control Contraction Metrics. ISRR (2) 2015: 403-418 - [i12]Ian R. Manchester, Jean-Jacques E. Slotine:
Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design. CoRR abs/1503.03144 (2015) - 2014
- [j9]Ian R. Manchester, Jean-Jacques E. Slotine:
Transverse contraction criteria for existence, stability, and robustness of a limit cycle. Syst. Control. Lett. 63: 32-38 (2014) - [c24]Seunggyun Cheong, Ian R. Manchester:
Input design for model discrimination and fault detection via convex relaxation. ACC 2014: 684-690 - [c23]Seunggyun Cheong, Ian R. Manchester:
Unfalsified adaptive control with MPC candidates. ACC 2014: 2863-2868 - [c22]Hua Ouyang, Ian R. Manchester:
Model validation and set membership state estimation for continuous-time nonlinear systems: Contraction metric approach. AuCC 2014: 158-163 - [c21]Ian R. Manchester, Jean-Jacques E. Slotine:
Output-feedback control of nonlinear systems using control contraction metrics and convex optimization. AuCC 2014: 215-220 - [c20]Justin Z. Tang, Ian R. Manchester:
Transverse contraction criteria for stability of nonlinear hybrid limit cycles. CDC 2014: 31-36 - [c19]Ian R. Manchester, Jack Umenberger:
Real-time planning with primitives for dynamic walking over uneven terrain. ICRA 2014: 4639-4646 - [i11]Ian R. Manchester, Jean-Jacques E. Slotine:
Control Contraction Metrics: Differential L2 Gain and Observer Duality. CoRR abs/1403.5364 (2014) - [i10]Justin Z. Tang, Ian R. Manchester:
Transverse Contraction Criteria for Stability of Nonlinear Hybrid Limit Cycles. CoRR abs/1403.5374 (2014) - [i9]Ian R. Manchester, Jean-Jacques E. Slotine:
Output-Feedback Control of Nonlinear Systems using Control Contraction Metrics and Convex Optimization. CoRR abs/1406.1256 (2014) - 2013
- [c18]Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski:
Stable nonlinear identification from noisy repeated experiments via convex optimization. ACC 2013: 3936-3941 - [c17]Ian R. Manchester, Jean-Jacques E. Slotine:
Transverse contraction criteria for existence, stability, and robustness of a limit cycle. CDC 2013: 5909-5914 - [i8]Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski:
Stable Nonlinear Identification From Noisy Repeated Experiments via Convex Optimization. CoRR abs/1303.4175 (2013) - [i7]Ian R. Manchester, Jack Umenberger:
Real-Time Planning with Primitives for Dynamic Walking over Uneven Terrain. CoRR abs/1310.7062 (2013) - [i6]Seunggyun Cheong, Ian R. Manchester:
Input Design for Model Discrimination and Fault Detection via Convex Relaxation. CoRR abs/1310.7262 (2013) - [i5]Ian R. Manchester, Jean-Jacques E. Slotine:
Control Contraction Metrics and Universal Stabilizability. CoRR abs/1311.4625 (2013) - 2012
- [i4]Ian R. Manchester, Jean-Jacques E. Slotine:
Contraction Criteria for Existence, Stability, and Robustness of a Limit Cycle. CoRR abs/1209.4433 (2012) - 2011
- [j8]Alexander C. Shkolnik, Michael Levashov, Ian R. Manchester, Russ Tedrake:
Bounding on rough terrain with the LittleDog robot. Int. J. Robotics Res. 30(2): 192-215 (2011) - [j7]Ian R. Manchester, Uwe Mettin, Fumiya Iida, Russ Tedrake:
Stable dynamic walking over uneven terrain. Int. J. Robotics Res. 30(3): 265-279 (2011) - [c16]John W. Roberts, Ian R. Manchester, Russ Tedrake:
Feedback controller parameterizations for Reinforcement Learning. ADPRL 2011: 310-317 - [c15]Ian R. Manchester, Mark M. Tobenkin, Jennifer Wang:
Identification of nonlinear systems with stable oscillations. CDC/ECC 2011: 5792-5797 - [i3]Ian R. Manchester, Mark M. Tobenkin, Jennifer Wang:
Identification of Nonlinear Systems with Stable Oscillations. CoRR abs/1103.5431 (2011) - 2010
- [j6]Russ Tedrake, Ian R. Manchester, Mark M. Tobenkin, John W. Roberts:
LQR-trees: Feedback Motion Planning via Sums-of-Squares Verification. Int. J. Robotics Res. 29(8): 1038-1052 (2010) - [j5]Kennet Andersson, Ian R. Manchester, Jan Malm, Anders Eklund:
Real-time estimation of cerebrospinal fluid system parameters via oscillating pressure infusion. Medical Biol. Eng. Comput. 48(11): 1123-1131 (2010) - [c14]Ian R. Manchester:
Input design for system identification via convex relaxation. CDC 2010: 2041-2046 - [c13]Ian R. Manchester, Kennet Andersson, Jan Malm, Anders Eklund:
System identification for clinical diagnosis of hydrocephalus. CDC 2010: 3391-3396 - [c12]Mark M. Tobenkin, Ian R. Manchester, Jennifer Wang, Alexandre Megretski, Russ Tedrake:
Convex optimization in identification of stable non-linear state space models. CDC 2010: 7232-7237 - [i2]Ian R. Manchester:
Input Design for System Identification via Convex Relaxation. CoRR abs/1009.5614 (2010) - [i1]Ian R. Manchester, Mark M. Tobenkin, Michael Levashov, Russ Tedrake:
Regions of Attraction for Hybrid Limit Cycles of Walking Robots. CoRR abs/1010.2247 (2010)
2000 – 2009
- 2009
- [c11]Ian R. Manchester:
An algorithm for amplitude-constrained input design for system identification. CDC 2009: 1551-1556 - [c10]Ian R. Manchester, Uwe Mettin, Fumiya Iida, Russ Tedrake:
Stable Dynamic Walking over Rough Terrain - Theory and Experiment. ISRR 2009: 123-138 - 2008
- [j4]Anton S. Shiriaev, Leonid B. Freidovich, Ian R. Manchester:
Can we make a robot ballerina perform a pirouette? Orbital stabilization of periodic motions of underactuated mechanical systems. Annu. Rev. Control. 32(2): 200-211 (2008) - [j3]Ian R. Manchester, K. S. Andersson, Nina Andersson, Anton S. Shiriaev, Anders Eklund:
A nonlinear observer for on-line estimation of the cerebrospinal fluid outflow resistance. Autom. 44(5): 1426-1430 (2008) - [c9]Ian R. Manchester, Emily May Peng Low, Andrey V. Savkin:
Interception of a moving object with a specified approach angle by a wheeled robot: Theory and experiment. CDC 2008: 490-495 - [c8]Anton S. Shiriaev, Leonid B. Freidovich, Ian R. Manchester:
Periodic motion planning and analytical computation of transverse linearizations for hybrid mechanical systems. CDC 2008: 4326-4331 - [c7]Simon Westerberg, Ian R. Manchester, Uwe Mettin, Pedro X. La Hera, Anton S. Shiriaev:
Virtual environment teleoperation of a hydraulic forestry crane. ICRA 2008: 4049-4054 - 2007
- [j2]Emily May Peng Low, Ian R. Manchester, Andrey V. Savkin:
A biologically inspired method for vision-based docking of wheeled mobile robots. Robotics Auton. Syst. 55(10): 769-784 (2007) - [c6]Ian R. Manchester, Emily May Peng Low, Andrey V. Savkin:
Vision-Based Interception of a Moving Target by a Mobile Robot. CCA 2007: 397-402 - [c5]Anton S. Shiriaev, Leonid B. Freidovich, Ian R. Manchester:
Can we make a robot ballerina perform a pirouette? orbital stabilization of periodic motions of unde. ALCOSP/PSYCO 2007: 32-43 - [c4]Ian R. Manchester, Anton S. Shiriaev, Andrey V. Savkin:
On motion planning for an underactuated ship: Fundamental limitations and a bearings-only navigation strategy. CDC 2007: 2411-2416 - [c3]Leonid B. Freidovich, Anton S. Shiriaev, Ian R. Manchester:
Experimental implementation of stable oscillations of the Furuta pendulum around the upward equilibrium. IROS 2007: 171-176 - 2006
- [j1]Veerachai Malyavej, Ian R. Manchester, Andrey V. Savkin:
Precision missile guidance using radar/multiple-video sensor fusion via communication channels with bit-rate constraints. Autom. 42(5): 763-769 (2006) - 2003
- [c2]Ian R. Manchester, Andrey V. Savkin, Farhail A. Faruqi:
Optical-flow based precision missile guidance inspired by honeybee navigation. CDC 2003: 5444-5449 - 2002
- [c1]Ian R. Manchester, Andrey V. Savkin:
Circular navigation guidance law for precision missile/target engagements. CDC 2002: 1287-1292
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To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-10 20:59 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
