Ian R. Manchester

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 110

Top Venues

CoRR

CDC

ACC

IEEE Trans. Autom. Control.

Publications

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) (2024)
Bowen Yi, Ian R. Manchester
On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control. IEEE Trans. Autom. Control. 69 (7) (2024)
Dongjun Wu, Bowen Yi, Ian R. Manchester
Control contraction metrics on Lie groups. CoRR (2024)
Jing Cheng, Ruigang Wang, Ian R. Manchester
Learning Stable and Passive Neural Differential Equations. CoRR (2024)
Ruigang Wang, Krishnamurthy Dvijotham, Ian R. Manchester
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. CoRR (2024)
Max Revay, Ruigang Wang, Ian R. Manchester
Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness. IEEE Trans. Autom. Control. 69 (5) (2024)
Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester
Learning Stable Koopman Embeddings for Identification and Control. CoRR (2024)
Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks. CoRR (2024)
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 (2023)
Vera L. J. Somers, Ian R. Manchester
Sparse Resource Allocation for Spreading Processes on Temporal-Switching Networks. CoRR (2023)
Ruigang Wang, Armaghan Zafar, Ian R. Manchester
Model Predictive Control of Spreading Processes via Sparse Resource Allocation. ACC (2023)
Ruigang Wang, Ian R. Manchester
Direct Parameterization of Lipschitz-Bounded Deep Networks. CoRR (2023)
Patricia Pauli, Ruigang Wang, Ian R. Manchester, Frank Allgöwer
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian. CoRR (2023)
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) (2023)
Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CoRR (2023)
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)
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)
Bowen Yi, Ian R. Manchester
On IMU preintegration: A nonlinear observer viewpoint and its application. CoRR (2023)
Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi
Differential initial-value privacy and observability of linear dynamical systems. Autom. 148 (2023)
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 (2023)
Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester
Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. CDC (2023)
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 (2023)
Ruigang Wang, Ian R. Manchester
Direct Parameterization of Lipschitz-Bounded Deep Networks. ICML (2023)
Daniele Martinelli, Clara Lucía Galimberti, Ian R. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. CoRR (2023)
Max Revay, Jack Umenberger, Ian R. Manchester
Distributed Identification of Contracting and/or Monotone Network Dynamics. IEEE Trans. Autom. Control. 67 (7) (2022)
Vera L. J. Somers, Ian R. Manchester
Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks. ACC (2022)
Bowen Yi, Ruigang Wang, Ian R. Manchester
Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization. IEEE Trans. Autom. Control. 67 (8) (2022)
Bowen Yi, Chi Jin, Ian R. Manchester
Globally convergent visual-feature range estimation with biased inertial measurements. Autom. 146 (2022)
Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester
Learning Stable Koopman Embeddings. ACC (2022)
Bowen Yi, Lei Wang, Ian R. Manchester
Attitude estimation from vector measurements: Necessary and sufficient conditions and convergent observer design. CoRR (2022)
Ruigang Wang, Armaghan Zafar, Ian R. Manchester
Model Predictive Control of Spreading Processes via Sparse Resource Allocation. CoRR (2022)
Ruigang Wang, Ian R. Manchester
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. ACC (2022)
Bowen Yi, Chi Jin, Ian R. Manchester
Globally convergent visual-feature range estimation with biased inertial measurements. CoRR (2021)
Vera L. J. Somers, Ian R. Manchester
Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks. CoRR (2021)
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 (2021)
Bowen Yi, Ian R. Manchester
On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control. CDC (2021)
Bowen Yi, Ian R. Manchester
On the equivalence of contraction and Koopman approaches for nonlinear stability and control. CoRR (2021)
Vera L. J. Somers, Ian R. Manchester
Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization. IEEE Control. Syst. Lett. 5 (2) (2021)
Lei Wang, Yang Liu, Ian R. Manchester, Guodong Shi
Differentially Private Distributed Computation via Public-Private Communication Networks. CoRR (2021)
Max Revay, Ruigang Wang, Ian R. Manchester
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CDC (2021)
Ruigang Wang, Nicholas Barbara, Max Revay, Ian R. Manchester
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. CoRR (2021)
Bowen Yi, Ruigang Wang, Ian R. Manchester
Reduced-order observers for nonlinear systems via contraction analysis and convex optimization. ACC (2021)
Ian R. Manchester, Max Revay, Ruigang Wang
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CDC (2021)
Ruigang Wang, Ian R. Manchester
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. CoRR (2021)
Fletcher Fan, Bowen Yi, David C. Rye, Guodong Shi, Ian R. Manchester
Learning Stable Koopman Embeddings. CoRR (2021)
Max Revay, Jack Umenberger, Ian R. Manchester
Distributed Identification of Contracting and/or Monotone Network Dynamics. CoRR (2021)
Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester
An almost globally convergent observer for visual SLAM without persistent excitation. CDC (2021)
Max Revay, Ruigang Wang, Ian R. Manchester
A Convex Parameterization of Robust Recurrent Neural Networks. IEEE Control. Syst. Lett. 5 (4) (2021)
Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester
An almost globally convergent observer for visual SLAM without persistent excitation. CoRR (2021)
Vera L. J. Somers, Ian R. Manchester
Minimizing the Risk of Spreading Processes via Surveillance Schedules and Sparse Control. CoRR (2021)
Max Revay, Ruigang Wang, Ian R. Manchester
A Convex Parameterization of Robust Recurrent Neural Networks. ACC (2021)
Max Revay, Ruigang Wang, Ian R. Manchester
Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. CoRR (2021)
Ian R. Manchester, Max Revay, Ruigang Wang
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. CoRR (2021)
Jack Liell-Cock, Ian R. Manchester, Guodong Shi
Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems. CDC (2020)
Vera L. J. Somers, Ian R. Manchester
Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization. CoRR (2020)
Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi
Initial-Value Privacy of Linear Dynamical Systems. CDC (2020)
Max Revay, Ruigang Wang, Ian R. Manchester
Convex Sets of Robust Recurrent Neural Networks. CoRR (2020)
Jack Liell-Cock, Ian R. Manchester, Guodong Shi
Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems. CoRR (2020)
Max Revay, Ian R. Manchester
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. L4DC (2020)
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 (2020)
Bowen Yi, Ruigang Wang, Ian R. Manchester
Reduced-Order Nonlinear Observers via Contraction Analysis and Convex Optimization. CoRR (2020)
Felix H. Kong, Ian R. Manchester
Contraction analysis of nonlinear noncausal iterative learning control. Syst. Control. Lett. 136 (2020)
Ruigang Wang, Roland Tóth, Ian R. Manchester
Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. CoRR (2020)
Max Revay, Ruigang Wang, Ian R. Manchester
Lipschitz Bounded Equilibrium Networks. CoRR (2020)
Bowen Yi, Ruigang Wang, Ian R. Manchester
On necessary conditions of tracking control for nonlinear systems via contraction analysis. CoRR (2020)
Lei Wang, Ian R. Manchester, Jochen Trumpf, Guodong Shi
Initial-Value Privacy of Linear Dynamical Systems. CoRR (2020)
Bowen Yi, Ruigang Wang, Ian R. Manchester
On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis. CDC (2020)
Ruigang Wang, Ian R. Manchester
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. ACC (2020)
Ruigang Wang, Ian R. Manchester
Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. CoRR (2019)
Max Revay, Ian R. Manchester
Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. CoRR (2019)
A. Mounir Boudali, Peter J. Sinclair, Ian R. Manchester
Prediction of Smooth Gait Transitioning for Active Lower Limb Prosthetics. EMBC (2019)
Humberto Stein Shiromoto, Max Revay, Ian R. Manchester
Distributed Nonlinear Control Design Using Separable Control Contraction Metrics. IEEE Trans. Control. Netw. Syst. 6 (4) (2019)
Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi
Dynamical Privacy in Distributed Computing - Part I: Privacy Loss and PPSC Mechanism. CoRR (2019)
Jack Umenberger, Ian R. Manchester
Convex Bounds for Equation Error in Stable Nonlinear Identification. IEEE Control. Syst. Lett. 3 (1) (2019)
Ruigang Wang, Roland Tóth, Ian R. Manchester
A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. CoRR (2019)
Vera L. J. Somers, Ian R. Manchester
Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes. CoRR (2019)
Vera L. J. Somers, Ian R. Manchester
Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes. ICRA (2019)
Ruigang Wang, Ian R. Manchester
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CDC (2019)
Ruigang Wang, Ian R. Manchester
Robust Contraction Analysis of Nonlinear Systems via Differential IQC. CoRR (2019)
Jack Umenberger, Ian R. Manchester
Specialized Interior-Point Algorithm for Stable Nonlinear System Identification. IEEE Trans. Autom. Control. 64 (6) (2019)
Felix H. Kong, Ian R. Manchester
Iterative Learning of Energy-Efficient Dynamic Walking Gaits. IROS (2018)
Thomas L. Chaffey, Ian R. Manchester
Control Contraction Metrics on Finsler Manifolds. CoRR (2018)
Thomas L. Chaffey, Ian R. Manchester
Control Contraction Metrics on Finsler Manifolds. ACC (2018)
Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön
Maximum likelihood identification of stable linear dynamical systems. Autom. 96 (2018)
Humberto Stein Shiromoto, Max Revay, Ian R. Manchester
Distributed Nonlinear Control Design using Separable Control Contraction Metrics. CoRR (2018)
Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi
Privacy-Preserving Gossip Algorithms. CoRR (2018)
Ian R. Manchester
Contracting Nonlinear Observers: Convex Optimization and Learning from Data. ACC (2018)
Fletcher Fan, Ian R. Manchester
Robust Control of Dynamic Walking Robots Using Transverse H∞. ICRA (2018)
Ian R. Manchester, Jean-Jacques E. Slotine
Control. IEEE Control. Syst. Lett. 2 (3) (2018)
Jack Umenberger, Ian R. Manchester
Specialized Interior Point Algorithm for Stable Nonlinear System Identification. CoRR (2018)
Yang Liu, Junfeng Wu, Ian R. Manchester, Guodong Shi
Gossip Algorithms that Preserve Privacy for Distributed Computation Part II: Performance Against Eavesdroppers. CDC (2018)
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)
Christian Grussler, Jack Umenberger, Ian R. Manchester
Identification of externally positive systems. CDC (2017)
Mark M. Tobenkin, Ian R. Manchester, Alexandre Megretski
Convex Parameterizations and Fidelity Bounds for Nonlinear Identification and Reduced-Order Modelling. CoRR (2017)
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) (2017)
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)
Karen Leung, Ian R. Manchester
Nonlinear stabilization via Control Contraction Metrics: A pseudospectral approach for computing geodesics. ACC (2017)
Ruigang Wang, Ian R. Manchester, Jie Bao
Distributed Economic MPC With Separable Control Contraction Metrics. IEEE Control. Syst. Lett. 1 (1) (2017)
Justin Z. Tang, A. Mounir Boudali, Ian R. Manchester
Invariant funnels for underactuated dynamic walking robots: New phase variable and experimental validation. ICRA (2017)
Ian R. Manchester
Contracting Nonlinear Observers: Convex Optimization and Learning from Data. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ian R. Manchester