Circular navigation guidance law for precision missile/target engagements. - Ian R. Manchester; Andrey V. Savkin (CDC, 2002)

Optical-flow based precision missile guidance inspired by honeybee navigation. - Ian R. Manchester; Andrey V. Savkin; Farhail A. Faruqi (CDC, 2003)

The problem of precision missile guidance based on multiple-video information fusion with bit-rate communication constraints. - Veerachai Malyavej; Ian R. Manchester; Andrey V. Savkin (CCA, 2004)

Precision missile guidance using radar/multiple-video sensor fusion via communication channels with bit-rate constraints. - Veerachai Malyavej; Ian R. Manchester; Andrey V. Savkin (Autom., 2006)

Vision-Based Interception of a Moving Target by a Mobile Robot. - Ian R. Manchester; Emily May Peng Low; Andrey V. Savkin (CCA, 2007)

Can we make a robot ballerina perform a pirouette? orbital stabilization of periodic motions of unde. - Anton S. Shiriaev; Leonid B. Freidovich; Ian R. Manchester (ALCOSP/PSYCO, 2007)

On motion planning for an underactuated ship: Fundamental limitations and a bearings-only navigation strategy. - Ian R. Manchester; Anton S. Shiriaev; Andrey V. Savkin (CDC, 2007)

Experimental implementation of stable oscillations of the Furuta pendulum around the upward equilibrium. - Leonid B. Freidovich; Anton S. Shiriaev; Ian R. Manchester (IROS, 2007)

A biologically inspired method for vision-based docking of wheeled mobile robots. - Emily May Peng Low; Ian R. Manchester; Andrey V. Savkin (Robotics Auton. Syst., 2007)

Interception of a moving object with a specified approach angle by a wheeled robot: Theory and experiment. - Ian R. Manchester; Emily May Peng Low; Andrey V. Savkin (CDC, 2008)

Periodic motion planning and analytical computation of transverse linearizations for hybrid mechanical systems. - Anton S. Shiriaev; Leonid B. Freidovich; Ian R. Manchester (CDC, 2008)

Virtual environment teleoperation of a hydraulic forestry crane. - Simon Westerberg; Ian R. Manchester; Uwe Mettin; Pedro X. La Hera; Anton S. Shiriaev (ICRA, 2008)

Can we make a robot ballerina perform a pirouette? Orbital stabilization of periodic motions of underactuated mechanical systems. - Anton S. Shiriaev; Leonid B. Freidovich; Ian R. Manchester (Annu. Rev. Control., 2008)

A nonlinear observer for on-line estimation of the cerebrospinal fluid outflow resistance. - Ian R. Manchester; K. S. Andersson; Nina Andersson; Anton S. Shiriaev; Anders Eklund 001 (Autom., 2008)

An algorithm for amplitude-constrained input design for system identification. - Ian R. Manchester (CDC, 2009)

Stable Dynamic Walking over Rough Terrain - Theory and Experiment. - Ian R. Manchester; Uwe Mettin; Fumiya Iida; Russ Tedrake (ISRR, 2009)

Input design for system identification via convex relaxation. - Ian R. Manchester (CDC, 2010)

System identification for clinical diagnosis of hydrocephalus. - Ian R. Manchester; Kennet Andersson; Jan Malm; Anders Eklund 001 (CDC, 2010)

Convex optimization in identification of stable non-linear state space models. - Mark M. Tobenkin; Ian R. Manchester; Jennifer Wang; Alexandre Megretski; Russ Tedrake (CDC, 2010)

Regions of Attraction for Hybrid Limit Cycles of Walking Robots - Ian R. Manchester; Mark M. Tobenkin; Michael Levashov; Russ Tedrake (CoRR, 2010)

LQR-trees: Feedback Motion Planning via Sums-of-Squares Verification. - Russ Tedrake; Ian R. Manchester; Mark M. Tobenkin; John W. Roberts (Int. J. Robotics Res., 2010)

Real-time estimation of cerebrospinal fluid system parameters via oscillating pressure infusion. - Kennet Andersson; Ian R. Manchester; Jan Malm; Anders Eklund 001 (Medical Biol. Eng. Comput., 2010)

Feedback controller parameterizations for Reinforcement Learning. - John W. Roberts; Ian R. Manchester; Russ Tedrake (ADPRL, 2011)

Identification of nonlinear systems with stable oscillations. - Ian R. Manchester; Mark M. Tobenkin; Jennifer Wang (CDC/ECC, 2011)

Stable dynamic walking over uneven terrain. - Ian R. Manchester; Uwe Mettin; Fumiya Iida; Russ Tedrake (Int. J. Robotics Res., 2011)

Bounding on rough terrain with the LittleDog robot. - Alexander C. Shkolnik; Michael Levashov; Ian R. Manchester; Russ Tedrake (Int. J. Robotics Res., 2011)

Contraction Criteria for Existence, Stability, and Robustness of a Limit Cycle - Ian R. Manchester; Jean-Jacques E. Slotine (CoRR, 2012)

Stable nonlinear identification from noisy repeated experiments via convex optimization. - Mark M. Tobenkin; Ian R. Manchester; Alexandre Megretski (ACC, 2013)

Control Contraction Metrics and Universal Stabilizability. - Ian R. Manchester; Jean-Jacques E. Slotine (CoRR, 2013)

Input design for model discrimination and fault detection via convex relaxation. - Seunggyun Cheong; Ian R. Manchester (ACC, 2014)

Unfalsified adaptive control with MPC candidates. - Seunggyun Cheong; Ian R. Manchester (ACC, 2014)

Output-feedback control of nonlinear systems using control contraction metrics and convex optimization. - Ian R. Manchester; Jean-Jacques E. Slotine (AuCC, 2014)

Model validation and set membership state estimation for continuous-time nonlinear systems: Contraction metric approach. - Hua Ouyang; Ian R. Manchester (AuCC, 2014)

Transverse contraction criteria for stability of nonlinear hybrid limit cycles. - Justin Z. Tang; Ian R. Manchester (CDC, 2014)

Real-time planning with primitives for dynamic walking over uneven terrain. - Ian R. Manchester; Jack Umenberger (ICRA, 2014)

Control Contraction Metrics: Differential L2 Gain and Observer Duality. - Ian R. Manchester; Jean-Jacques E. Slotine (CoRR, 2014)

Transverse contraction criteria for existence, stability, and robustness of a limit cycle. - Ian R. Manchester; Jean-Jacques E. Slotine (Syst. Control. Lett., 2014)

Phase-indexed ILC for control of underactuated walking robots. - Felix H. Kong; A. Mounir Boudali; Ian R. Manchester (CCA, 2015)

Unifying Robot Trajectory Tracking with Control Contraction Metrics. - Ian R. Manchester; Justin Z. Tang; Jean-Jacques E. Slotine (ISRR (2), 2015)

Input design for discrimination between classes of LTI models. - Seunggyun Cheong; Ian R. Manchester (Autom., 2015)

Combined ILC and Disturbance Observer for the Rejection of Near-Repetitive Disturbances, With Application to Excavation. - Guilherme J. Maeda; Ian R. Manchester; David C. Rye (IEEE Trans. Control. Syst. Technol., 2015)

Specialized algorithm for identification of stable linear systems using Lagrangian relaxation. - Jack Umenberger; Ian R. Manchester (ACC, 2016)

Decentralized nonlinear feedback design with separable control contraction metrics. - Humberto Stein Shiromoto; Ian R. Manchester (CDC, 2016)

Scalable identification of stable positive systems. - Jack Umenberger; Ian R. Manchester (CDC, 2016)

Chebyshev Pseudospectral Method for Nonlinear Stabilization using Control Contraction Metrics. - Karen Leung; Ian R. Manchester (CoRR, 2016)

Linear System Identification via EM with Latent Disturbances and Lagrangian Relaxation. - Jack Umenberger; Johan Wågberg; Ian R. Manchester; Thomas B. Schön (CoRR, 2016)

Nonlinear stabilization via Control Contraction Metrics: A pseudospectral approach for computing geodesics. - Karen Leung; Ian R. Manchester (ACC, 2017)

Identification of externally positive systems. - Christian Grussler; Jack Umenberger; Ian R. Manchester (CDC, 2017)

Human locomotion analysis: Identifying a dynamic mapping between upper and lower limb joints using the Koopman operator. - A. Mounir Boudali; Peter J. Sinclair; Richard Smith; Ian R. Manchester (EMBC, 2017)

Design and modeling of an open platform for dynamic walking research. - A. Mounir Boudali; Felix H. Kong; Javier Martinez; Justin Z. Tang; Ian R. Manchester (ICM, 2017)

Invariant funnels for underactuated dynamic walking robots: New phase variable and experimental validation. - Justin Z. Tang; A. Mounir Boudali; Ian R. Manchester (ICRA, 2017)

On Existence of Separable Contraction Metrics for Monotone Nonlinear Systems. - Ian R. Manchester; Jean-Jacques E. Slotine (CoRR, 2017)

An Amendment to "Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design". - Ian R. Manchester; Thomas L. Chaffey (CoRR, 2017)

Distributed Economic MPC With Separable Control Contraction Metrics. - Ruigang Wang; Ian R. Manchester; Jie Bao 002 (IEEE Control. Syst. Lett., 2017)

Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design. - Ian R. Manchester; Jean-Jacques E. Slotine (IEEE Trans. Autom. Control., 2017)

Convex Parameterizations and Fidelity Bounds for Nonlinear Identification and Reduced-Order Modelling. - Mark M. Tobenkin; Ian R. Manchester; Alexandre Megretski (IEEE Trans. Autom. Control., 2017)

Control Contraction Metrics on Finsler Manifolds. - Thomas L. Chaffey; Ian R. Manchester (ACC, 2018)

Contracting Nonlinear Observers: Convex Optimization and Learning from Data. - Ian R. Manchester (ACC, 2018)

Gossip Algorithms that Preserve Privacy for Distributed Computation Part I: The Algorithms and Convergence Conditions. - Yang Liu 125; Junfeng Wu 001; Ian R. Manchester; Guodong Shi (CDC, 2018)

Gossip Algorithms that Preserve Privacy for Distributed Computation Part II: Performance Against Eavesdroppers. - Yang Liu 125; Junfeng Wu 001; Ian R. Manchester; Guodong Shi (CDC, 2018)

Robust Control of Dynamic Walking Robots Using Transverse H∞. - Fletcher Fan; Ian R. Manchester (ICRA, 2018)

Iterative Learning of Energy-Efficient Dynamic Walking Gaits. - Felix H. Kong; Ian R. Manchester (IROS, 2018)

Maximum likelihood identification of stable linear dynamical systems. - Jack Umenberger; Johan Wågberg; Ian R. Manchester; Thomas B. Schön (Autom., 2018)

Privacy-Preserving Gossip Algorithms. - Yang Liu 125; Junfeng Wu 001; Ian R. Manchester; Guodong Shi (CoRR, 2018)

Robust Control Contraction Metrics: A Convex Approach to Nonlinear State-Feedback H∞ Control. - Ian R. Manchester; Jean-Jacques E. Slotine (IEEE Control. Syst. Lett., 2018)

Robust Contraction Analysis of Nonlinear Systems via Differential IQC. - Ruigang Wang; Ian R. Manchester (CDC, 2019)

Prediction of Smooth Gait Transitioning for Active Lower Limb Prosthetics. - A. Mounir Boudali; Peter J. Sinclair; Ian R. Manchester (EMBC, 2019)

Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes. - Vera L. J. Somers; Ian R. Manchester (ICRA, 2019)

Dynamical Privacy in Distributed Computing - Part I: Privacy Loss and PPSC Mechanism. - Yang Liu 125; Junfeng Wu 001; Ian R. Manchester; Guodong Shi (CoRR, 2019)

A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control. - Ruigang Wang; Roland Tóth; Ian R. Manchester (CoRR, 2019)

Convex Bounds for Equation Error in Stable Nonlinear Identification. - Jack Umenberger; Ian R. Manchester (IEEE Control. Syst. Lett., 2019)

Specialized Interior-Point Algorithm for Stable Nonlinear System Identification. - Jack Umenberger; Ian R. Manchester (IEEE Trans. Autom. Control., 2019)

Distributed Nonlinear Control Design Using Separable Control Contraction Metrics. - Humberto Stein Shiromoto; Max Revay; Ian R. Manchester (IEEE Trans. Control. Netw. Syst., 2019)

Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics. - Ruigang Wang; Ian R. Manchester (ACC, 2020)

Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems. - Jack Liell-Cock; Ian R. Manchester; Guodong Shi (CDC, 2020)

Initial-Value Privacy of Linear Dynamical Systems. - Lei Wang 059; Ian R. Manchester; Jochen Trumpf; Guodong Shi (CDC, 2020)

On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis. - Bowen Yi; Ruigang Wang; Ian R. Manchester (CDC, 2020)

Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability. - Max Revay; Ian R. Manchester (L4DC, 2020)

Path following of a class of underactuated mechanical systems via immersion and invariance-based orbital stabilization. - Bowen Yi; Romeo Ortega; Ian R. Manchester; Houria Siguerdidjane (CoRR, 2020)

Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding. - Ruigang Wang; Roland Tóth; Ian R. Manchester (CoRR, 2020)

Convex Sets of Robust Recurrent Neural Networks. - Max Revay; Ruigang Wang; Ian R. Manchester (CoRR, 2020)

Lipschitz Bounded Equilibrium Networks. - Max Revay; Ruigang Wang; Ian R. Manchester (CoRR, 2020)

Contraction analysis of nonlinear noncausal iterative learning control. - Felix H. Kong; Ian R. Manchester (Syst. Control. Lett., 2020)

Reduced-order observers for nonlinear systems via contraction analysis and convex optimization. - Bowen Yi; Ruigang Wang; Ian R. Manchester (ACC, 2021)

Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial. - Ian R. Manchester; Max Revay; Ruigang Wang (CDC, 2021)

Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models. - Max Revay; Ruigang Wang; Ian R. Manchester (CDC, 2021)

An almost globally convergent observer for visual SLAM without persistent excitation. - Bowen Yi; Chi Jin 003; Lei Wang 059; Guodong Shi; Ian R. Manchester (CDC, 2021)

Differentially Private Distributed Computation via Public-Private Communication Networks. - Lei Wang 059; Yang Liu 125; Ian R. Manchester; Guodong Shi (CoRR, 2021)

Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics. - Ruigang Wang; Patrick J. W. Koelwijn; Ian R. Manchester; Roland Tóth (CoRR, 2021)

A Convex Parameterization of Robust Recurrent Neural Networks. - Max Revay; Ruigang Wang; Ian R. Manchester (IEEE Control. Syst. Lett., 2021)

Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization. - Vera L. J. Somers; Ian R. Manchester (IEEE Control. Syst. Lett., 2021)

Learning Stable Koopman Embeddings. - Fletcher Fan; Bowen Yi; David C. Rye; Guodong Shi; Ian R. Manchester (ACC, 2022)

Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks. - Vera L. J. Somers; Ian R. Manchester (ACC, 2022)

Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees. - Ruigang Wang; Ian R. Manchester (ACC, 2022)

Globally convergent visual-feature range estimation with biased inertial measurements. - Bowen Yi; Chi Jin 003; Ian R. Manchester (Autom., 2022)

Distributed Identification of Contracting and/or Monotone Network Dynamics. - Max Revay; Jack Umenberger; Ian R. Manchester (IEEE Trans. Autom. Control., 2022)

Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization. - Bowen Yi; Ruigang Wang; Ian R. Manchester (IEEE Trans. Autom. Control., 2022)

Model Predictive Control of Spreading Processes via Sparse Resource Allocation. - Ruigang Wang; Armaghan Zafar; Ian R. Manchester (ACC, 2023)

Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. - Nicholas H. Barbara; Ruigang Wang; Ian R. Manchester (CDC, 2023)

Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations. - Daniele Martinelli; Clara Lucía Galimberti; Ian R. Manchester; Luca Furieri; Giancarlo Ferrari-Trecate (CDC, 2023)

Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian. - Patricia Pauli; Ruigang Wang; Ian R. Manchester; Frank Allgöwer (CDC, 2023)

Direct Parameterization of Lipschitz-Bounded Deep Networks. - Ruigang Wang; Ian R. Manchester (ICML, 2023)

Sparse Resource Allocation for Spreading Processes on Temporal-Switching Networks. - Vera L. J. Somers; Ian R. Manchester (CoRR, 2023)

Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems. - Nicholas H. Barbara; Ruigang Wang; Ian R. Manchester (CoRR, 2023)

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness. - Nicholas H. Barbara; Max Revay; Ruigang Wang; Jing Cheng; Ian R. Manchester (CoRR, 2023)

On IMU preintegration: A nonlinear observer viewpoint and its application. - Bowen Yi; Ian R. Manchester (CoRR, 2023)

Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System. - Ruigang Wang; Nicholas Barbara; Max Revay; Ian R. Manchester (IEEE Control. Syst. Lett., 2023)

Differential initial-value privacy and observability of linear dynamical systems. - Lei Wang 059; Ian R. Manchester; Jochen Trumpf; Guodong Shi (Autom., 2023)

Minimizing the Risk of Spreading Processes via Surveillance Schedules and Sparse Control. - Vera L. J. Somers; Ian R. Manchester (IEEE Trans. Control. Netw. Syst., 2023)

Learning Stable and Passive Neural Differential Equations. - Jing Cheng; Ruigang Wang; Ian R. Manchester (CDC, 2024)

Control Contraction Metrics on Submanifolds. - Dongjun Wu; Bowen Yi; Ian R. Manchester (CDC, 2024)

Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks. - Ruigang Wang; Krishnamurthy Dj Dvijotham; Ian R. Manchester (ICML, 2024)

Path-Parameterised RRTs for Underactuated Systems. - Damian Abood; Ian R. Manchester (IROS, 2024)

Real-time Coupled Centroidal Motion and Footstep Planning for Biped Robots. - Tara Bartlett; Ian R. Manchester (IROS, 2024)

Learning Stable Koopman Embeddings for Identification and Control. - Fletcher Fan; Bowen Yi; David C. Rye; Guodong Shi; Ian R. Manchester (CoRR, 2024)

Control contraction metrics on Lie groups. - Dongjun Wu; Bowen Yi; Ian R. Manchester (CoRR, 2024)

On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks. - Nicholas H. Barbara; Ruigang Wang; Ian R. Manchester (CoRR, 2024)

LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers. - Patricia Pauli; Ruigang Wang; Ian R. Manchester; Frank Allgöwer (CoRR, 2024)

On IMU preintegration: A nonlinear observer viewpoint and its applications. - Bowen Yi; Ian R. Manchester (Syst. Control. Lett., 2024)

Attitude Estimation From Vector Measurements: Necessary and Sufficient Conditions and Convergent Observer Design. - Bowen Yi; Lei Wang 059; Ian R. Manchester (IEEE Trans. Autom. Control., 2024)

Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness. - Max Revay; Ruigang Wang; Ian R. Manchester (IEEE Trans. Autom. Control., 2024)

On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control. - Bowen Yi; Ian R. Manchester (IEEE Trans. Autom. Control., 2024)

Norm-Bounded Low-Rank Adaptation. - Ruigang Wang; Krishnamurthy Dvijotham; Ian R. Manchester (CoRR, 2025)

Training Trajectory Predictors Without Ground-Truth Data. - Mikolaj Kliniewski; Jesse Morris; Ian R. Manchester; Viorela Ila (CoRR, 2025)

PEBO-SLAM: Observer Design for Visual Inertial SLAM With Convergence Guarantees. - Bowen Yi; Chi Jin 003; Lei Wang 059; Guodong Shi; Viorela Ila; Ian R. Manchester (IEEE Trans. Autom. Control., 2025)

R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks. - Nicholas H. Barbara; Ruigang Wang; Ian R. Manchester (CoRR, 2025)

Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees. - Kanghong Shi; Ruigang Wang; Ian R. Manchester (CoRR, 2025)

Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses. - Yurui Zhang; Ruigang Wang; Ian R. Manchester (CoRR, 2025)

React to Surprises: Stable-by-Design Neural Feedback Control and the Youla-REN. - Nicholas H. Barbara; Ruigang Wang; Alexandre Megretski; Ian R. Manchester (CoRR, 2025)