Search Results - "Freeman, Chris T"

Repetitive Control of Electrical Stimulation for Tremor Suppression by Copur, Engin Hasan, Freeman, Chris T., Chu, Bing, Laila, Dina Shona

“…Tremor is a rapid involuntary movement often seen in patients with neurological conditions such as multiple sclerosis and Parkinson's disease. This…”
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Functional electrical stimulation mediated by iterative learning control and 3D robotics reduces motor impairment in chronic stroke by Meadmore, Katie L, Hughes, Ann-Marie, Freeman, Chris T, Cai, Zhonglun, Tong, Daisy, Burridge, Jane H, Rogers, Eric

“…Novel stroke rehabilitation techniques that employ electrical stimulation (ES) and robotic technologies are effective in reducing upper limb impairments. ES is…”
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Disturbance observer-based predictive repetitive control with constraints by Wang, Liuping, Freeman, Chris T., Rogers, Eric

“…This paper develops an observer-based predictive repetitive control system to track periodic reference signals or reject disturbances with bandlimited…”
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A hybrid orthosis combining functional electrical stimulation and soft robotics for improved assistance of drop-foot by Hodgins, Lucy, Freeman, Chris T.

“…Drop-foot is characterised by an inability to lift the foot, and affects an estimated 3 million people worldwide. Current treatment methods include rigid…”
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Constrained point-to-point iterative learning control with experimental verification by Freeman, Chris T.

“…Iterative learning control is a methodology applicable to systems which repeatedly track a specified reference trajectory defined over a finite time duration…”
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Iterative learning control for a non-minimum phase plant based on a reference shift algorithm by Cai, Zhonglun, Freeman, Chris T., Lewin, Paul L., Rogers, Eric

“…In order to improve the tracking performance of a non-minimum phase plant, a new method called the reference shift algorithm has been developed to overcome the…”
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Disturbance Observer-Based Repetitive Control System With Nonminimal State-Space Realization and Experimental Evaluation by Wang, Liuping, Freeman, Chris T., Rogers, Eric, Young, Peter C.

“…This brief develops a disturbance observer-based repetitive control system using a non-minimal state-space (NMSS) realization where all state variables…”
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Data-driven gradient-based point-to-point iterative learning control for nonlinear systems by Huo, Benyan, Freeman, Chris T., Liu, Yanghong

“…Iterative learning control (ILC) is a well-established methodology which has proved successful in achieving accurate tracking control for repeated tasks…”
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Experimentally supported 2D systems based iterative learning control law design for error convergence and performance by Hladowski, Lukasz, Galkowski, Krzysztof, Cai, Zhonglun, Rogers, Eric, Freeman, Chris T., Lewin, Paul L.

“…This paper considers iterative learning control law design for both trial-to-trial error convergence and along the trial performance. It is shown how a class…”
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Predictive-repetitive control with constraints: From design to implementation by Wang, Liuping, Freeman, Chris T., Chai, Shan, Rogers, Eric

“…•Design and experimental verification of predictive repetitive control.•Operational constraints are included.•The design algorithm uses Laguerre…”
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Multivariable Repetitive-Predictive Controllers Using Frequency Decomposition by Wang, Liuping, Chai, Shan, Rogers, Eric, Freeman, Chris T.

“…Repetitive control is a methodology for the tracking of a periodic reference signal. This paper develops a new approach to repetitive control systems design…”
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Iterative Learning Control for Multiple Point-to-Point Tracking Application by Freeman, C T, Zhonglun Cai, Rogers, E, Lewin, P L

“…This paper considers a general class of linear iterative learning control (ILC) algorithm applied to tracking tasks which require the plant output to reach…”
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An inverse-model approach to multivariable norm optimal iterative learning control with auxiliary optimisation by Owens, David H., Freeman, Chris T., Chu, Bing

“…Motivated by the commonly encountered problem in which tracking is only required at selected intermediate points within the time interval, a general…”
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Multivariable norm optimal iterative learning control with auxiliary optimisation by Owens, David H., Freeman, Chris T., Chu, Bing

“…The paper describes a substantial extension of norm optimal iterative learning control (NOILC) that permits tracking of a class of finite dimensional reference…”
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The application of precisely controlled functional electrical stimulation to the shoulder, elbow and wrist for upper limb stroke rehabilitation: a feasibility study by Meadmore, Katie L, Exell, Timothy A, Hallewell, Emma, Hughes, Ann-Marie, Freeman, Chris T, Kutlu, Mustafa, Benson, Valerie, Rogers, Eric, Burridge, Jane H

“…Functional electrical stimulation (FES) during repetitive practice of everyday tasks can facilitate recovery of upper limb function following stroke. Reduction…”
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Iterative Learning Control Based on Relaxed 2-D Systems Stability Criteria by Dabkowski, P., Galkowskiy, K., Rogers, E., Zhonglun Cai, Freeman, C. T., Lewin, P. L.

“…This brief develops a new algorithm for the design of iterative learning control law algorithms in a 2-D systems setting. This algorithm enables control law…”
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Influence of Nonminimum Phase Zeros on the Performance of Optimal Continuous-Time Iterative Learning Control by Owens, David H., Chu, Bing, Rogers, Eric, Freeman, Chris T., Lewin, Paul L.

“…Iterative learning control can be applied to systems that execute the same tracking task over a finite time duration. An execution is known as a trial, and…”
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Assessment of gradient-based iterative learning controllers using a multivariable test facility with varying interaction by Dinh, Thanh V., Freeman, Chris T., Lewin, Paul L.

“…A multiple input, multiple output (MIMO) experimental test facility has been developed for the evaluation, benchmarking and comparison of iterative learning…”
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A model of the upper extremity using FES for stroke rehabilitation by Freeman, Chris T, Hughes, Ann-Marie, Burridge, Jane H, Chappell, Paul H, Lewin, Paul L, Rogers, Eric

“…A model of the upper extremity is developed in which the forearm is constrained to lie in a horizontal plane and electrical stimulation is applied to the…”
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Generalized Norm Optimal Iterative Learning Control with Intermediate Point and Sub-interval Tracking by Owens, David H., Freeman, Chris T., Chu, Bing

“…Norm optimal iterative learning control(NOILC) has recently been applied to iterative learning control(ILC) problems in which tracking is only required at a…”
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