Ian R. Manchester

Orcid: 0000-0002-7035-3173

Affiliations:
  • University of Sydney, Australian Centre for Field Robotics (ACFR), Sydney, NSW, Australia
  • University of New South Wales, Sydney, NSW, Australia (PhD 2006)


According to our database1, Ian R. Manchester authored at least 120 papers between 2002 and 2024.

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Bibliography

2024
On the Equivalence of Contraction and Koopman Approaches for Nonlinear Stability and Control.
IEEE Trans. Autom. Control., July, 2024

Recurrent Equilibrium Networks: Flexible Dynamic Models With Guaranteed Stability and Robustness.
IEEE Trans. Autom. Control., May, 2024

Attitude Estimation From Vector Measurements: Necessary and Sufficient Conditions and Convergent Observer Design.
IEEE Trans. Autom. Control., January, 2024

On IMU preintegration: A nonlinear observer viewpoint and its applications.
Syst. Control. Lett., 2024

Real-time Coupled Centroidal Motion and Footstep Planning for Biped Robots.
CoRR, 2024

Path-Parameterised RRTs for Underactuated Systems.
CoRR, 2024

On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks.
CoRR, 2024

Learning Stable and Passive Neural Differential Equations.
CoRR, 2024

Control contraction metrics on Lie groups.
CoRR, 2024

Learning Stable Koopman Embeddings for Identification and Control.
CoRR, 2024

Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Minimizing the Risk of Spreading Processes via Surveillance Schedules and Sparse Control.
IEEE Trans. Control. Netw. Syst., March, 2023

Differential initial-value privacy and observability of linear dynamical systems.
Autom., February, 2023

Learning Over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System.
IEEE Control. Syst. Lett., 2023

On IMU preintegration: A nonlinear observer viewpoint and its application.
CoRR, 2023

PEBO-SLAM: Observer design for visual inertial SLAM with convergence guarantees.
CoRR, 2023

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness.
CoRR, 2023

Learning Over All Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems.
CoRR, 2023

Sparse Resource Allocation for Spreading Processes on Temporal-Switching Networks.
CoRR, 2023

Direct Parameterization of Lipschitz-Bounded Deep Networks.
Proceedings of the International Conference on Machine Learning, 2023

Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Over Contracting and Lipschitz Closed-Loops for Partially-Observed Nonlinear Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Model Predictive Control of Spreading Processes via Sparse Resource Allocation.
Proceedings of the American Control Conference, 2023

2022
Reduced-Order Nonlinear Observers Via Contraction Analysis and Convex Optimization.
IEEE Trans. Autom. Control., 2022

Distributed Identification of Contracting and/or Monotone Network Dynamics.
IEEE Trans. Autom. Control., 2022

Globally convergent visual-feature range estimation with biased inertial measurements.
Autom., 2022

Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees.
Proceedings of the American Control Conference, 2022

Multi-Stage Sparse Resource Allocation for Control of Spreading Processes over Networks.
Proceedings of the American Control Conference, 2022

Learning Stable Koopman Embeddings.
Proceedings of the American Control Conference, 2022

2021
Sparse Resource Allocation for Control of Spreading Processes via Convex Optimization.
IEEE Control. Syst. Lett., 2021

A Convex Parameterization of Robust Recurrent Neural Networks.
IEEE Control. Syst. Lett., 2021

Nonlinear parameter-varying state-feedback design for a gyroscope using virtual control contraction metrics.
CoRR, 2021

Differentially Private Distributed Computation via Public-Private Communication Networks.
CoRR, 2021

An almost globally convergent observer for visual SLAM without persistent excitation.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Recurrent Equilibrium Networks: Unconstrained Learning of Stable and Robust Dynamical Models.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Reduced-order observers for nonlinear systems via contraction analysis and convex optimization.
Proceedings of the 2021 American Control Conference, 2021

2020
Contraction analysis of nonlinear noncausal iterative learning control.
Syst. Control. Lett., 2020

Lipschitz Bounded Equilibrium Networks.
CoRR, 2020

Convex Sets of Robust Recurrent Neural Networks.
CoRR, 2020

Virtual Control Contraction Metrics: Convex Nonlinear Feedback Design via Behavioral Embedding.
CoRR, 2020

Path following of a class of underactuated mechanical systems via immersion and invariance-based orbital stabilization.
CoRR, 2020

Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainability.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

On Necessary Conditions of Tracking Control for Nonlinear Systems via Contraction Analysis.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Initial-Value Privacy of Linear Dynamical Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Preserving Privacy of the Influence Structure in Friedkin-Johnsen Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Continuous-time Dynamic Realization for Nonlinear Stabilization via Control Contraction Metrics.
Proceedings of the 2020 American Control Conference, 2020

2019
Distributed Nonlinear Control Design Using Separable Control Contraction Metrics.
IEEE Trans. Control. Netw. Syst., 2019

Specialized Interior-Point Algorithm for Stable Nonlinear System Identification.
IEEE Trans. Autom. Control., 2019

Convex Bounds for Equation Error in Stable Nonlinear Identification.
IEEE Control. Syst. Lett., 2019

A Comparison of LPV Gain Scheduling and Control Contraction Metrics for Nonlinear Control.
CoRR, 2019

Dynamical Privacy in Distributed Computing - Part I: Privacy Loss and PPSC Mechanism.
CoRR, 2019

Priority Maps for Surveillance and Intervention of Wildfires and other Spreading Processes.
Proceedings of the International Conference on Robotics and Automation, 2019

Prediction of Smooth Gait Transitioning for Active Lower Limb Prosthetics.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Robust Contraction Analysis of Nonlinear Systems via Differential IQC.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Robust Control Contraction Metrics: A Convex Approach to Nonlinear State-Feedback H<sup>∞</sup> Control.
IEEE Control. Syst. Lett., 2018

Privacy-Preserving Gossip Algorithms.
CoRR, 2018

Maximum likelihood identification of stable linear dynamical systems.
Autom., 2018

Iterative Learning of Energy-Efficient Dynamic Walking Gaits.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Robust Control of Dynamic Walking Robots Using Transverse H∞.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Gossip Algorithms that Preserve Privacy for Distributed Computation Part II: Performance Against Eavesdroppers.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Gossip Algorithms that Preserve Privacy for Distributed Computation Part I: The Algorithms and Convergence Conditions.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Contracting Nonlinear Observers: Convex Optimization and Learning from Data.
Proceedings of the 2018 Annual American Control Conference, 2018

Control Contraction Metrics on Finsler Manifolds.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Convex Parameterizations and Fidelity Bounds for Nonlinear Identification and Reduced-Order Modelling.
IEEE Trans. Autom. Control., 2017

Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design.
IEEE Trans. Autom. Control., 2017

Distributed Economic MPC With Separable Control Contraction Metrics.
IEEE Control. Syst. Lett., 2017

An Amendment to "Control Contraction Metrics: Convex and Intrinsic Criteria for Nonlinear Feedback Design".
CoRR, 2017

On Existence of Separable Contraction Metrics for Monotone Nonlinear Systems.
CoRR, 2017

Invariant funnels for underactuated dynamic walking robots: New phase variable and experimental validation.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Design and modeling of an open platform for dynamic walking research.
Proceedings of the IEEE International Conference on Mechatronics, 2017

Human locomotion analysis: Identifying a dynamic mapping between upper and lower limb joints using the Koopman operator.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Identification of externally positive systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Nonlinear stabilization via Control Contraction Metrics: A pseudospectral approach for computing geodesics.
Proceedings of the 2017 American Control Conference, 2017

2016
Linear System Identification via EM with Latent Disturbances and Lagrangian Relaxation.
CoRR, 2016

Chebyshev Pseudospectral Method for Nonlinear Stabilization using Control Contraction Metrics.
CoRR, 2016

Scalable identification of stable positive systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Decentralized nonlinear feedback design with separable control contraction metrics.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Specialized algorithm for identification of stable linear systems using Lagrangian relaxation.
Proceedings of the 2016 American Control Conference, 2016

2015
Combined ILC and Disturbance Observer for the Rejection of Near-Repetitive Disturbances, With Application to Excavation.
IEEE Trans. Control. Syst. Technol., 2015

Input design for discrimination between classes of LTI models.
Autom., 2015

Unifying Robot Trajectory Tracking with Control Contraction Metrics.
Proceedings of the Robotics Research, 2015

Phase-indexed ILC for control of underactuated walking robots.
Proceedings of the 2015 IEEE Conference on Control Applications, 2015

2014
Transverse contraction criteria for existence, stability, and robustness of a limit cycle.
Syst. Control. Lett., 2014

Control Contraction Metrics: Differential L2 Gain and Observer Duality.
CoRR, 2014

Real-time planning with primitives for dynamic walking over uneven terrain.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Transverse contraction criteria for stability of nonlinear hybrid limit cycles.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Model validation and set membership state estimation for continuous-time nonlinear systems: Contraction metric approach.
Proceedings of the 4th Australian Control Conference, AuCC 2014, Canberra, 2014

Output-feedback control of nonlinear systems using control contraction metrics and convex optimization.
Proceedings of the 4th Australian Control Conference, AuCC 2014, Canberra, 2014

Unfalsified adaptive control with MPC candidates.
Proceedings of the American Control Conference, 2014

Input design for model discrimination and fault detection via convex relaxation.
Proceedings of the American Control Conference, 2014

2013
Control Contraction Metrics and Universal Stabilizability.
CoRR, 2013

Stable nonlinear identification from noisy repeated experiments via convex optimization.
Proceedings of the American Control Conference, 2013

2012
Contraction Criteria for Existence, Stability, and Robustness of a Limit Cycle
CoRR, 2012

2011
Bounding on rough terrain with the LittleDog robot.
Int. J. Robotics Res., 2011

Stable dynamic walking over uneven terrain.
Int. J. Robotics Res., 2011

Identification of nonlinear systems with stable oscillations.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Feedback controller parameterizations for Reinforcement Learning.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010
Real-time estimation of cerebrospinal fluid system parameters via oscillating pressure infusion.
Medical Biol. Eng. Comput., 2010

LQR-trees: Feedback Motion Planning via Sums-of-Squares Verification.
Int. J. Robotics Res., 2010

Regions of Attraction for Hybrid Limit Cycles of Walking Robots
CoRR, 2010

Convex optimization in identification of stable non-linear state space models.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

System identification for clinical diagnosis of hydrocephalus.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Input design for system identification via convex relaxation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Stable Dynamic Walking over Rough Terrain - Theory and Experiment.
Proceedings of the Robotics Research - The 14th International Symposium, 2009

An algorithm for amplitude-constrained input design for system identification.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
A nonlinear observer for on-line estimation of the cerebrospinal fluid outflow resistance.
Autom., 2008

Can we make a robot ballerina perform a pirouette? Orbital stabilization of periodic motions of underactuated mechanical systems.
Annu. Rev. Control., 2008

Virtual environment teleoperation of a hydraulic forestry crane.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Periodic motion planning and analytical computation of transverse linearizations for hybrid mechanical systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Interception of a moving object with a specified approach angle by a wheeled robot: Theory and experiment.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
A biologically inspired method for vision-based docking of wheeled mobile robots.
Robotics Auton. Syst., 2007

Experimental implementation of stable oscillations of the Furuta pendulum around the upward equilibrium.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

On motion planning for an underactuated ship: Fundamental limitations and a bearings-only navigation strategy.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Can we make a robot ballerina perform a pirouette? orbital stabilization of periodic motions of unde.
Proceedings of the 9th IFAC Workshop on Adaptation and Learning in Control and Signal Processing, 2007

Vision-Based Interception of a Moving Target by a Mobile Robot.
Proceedings of the IEEE International Conference on Control Applications, 2007

2006
Precision missile guidance using radar/multiple-video sensor fusion via communication channels with bit-rate constraints.
Autom., 2006

2003
Optical-flow based precision missile guidance inspired by honeybee navigation.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
Circular navigation guidance law for precision missile/target engagements.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002


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