Design of Observer-Based $H_{\infty}$ Robust Repetitive-Control System
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Publication:5347756
DOI10.1109/TAC.2011.2112473zbMath1368.93159OpenAlexW2211443516MaRDI QIDQ5347756
Publication date: 25 August 2017
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tac.2011.2112473
Related Items (18)
Observer design and output feedback stabilization for nonlinear multivariable systems with diffusion PDE-governed sensor dynamics ⋮ Robust \(H_\infty\) control of an observer-based repetitive-control system ⋮ Observer-based fault detection for continuous-discrete systems in T-S fuzzy model ⋮ Equivalent-input-disturbance-based preview repetitive control for Takagi-Sugeno fuzzy systems ⋮ Design of a preview repetitive control with equivalent-input-disturbance system based on a continuous-discrete 2D model ⋮ Robust Repetitive Control and Disturbance Rejection Based on Two-Dimensional Model and Equivalent-Input-Disturbance Approach ⋮ Design of a modified repetitive-control system based on a continuous-discrete 2D model ⋮ Design of Robust Discrete‐Time Observer‐Based Repetitive‐Control System ⋮ Iterative learning control for nonlinear dynamic systems with randomly varying trial lengths ⋮ A 2D system approach to the design of a robust modified repetitive-control system with a dynamic output-feedback controller ⋮ Robust \(H_\infty\) repetitive control for a class of linear stochastic switched systems with time delay ⋮ State-estimator-based asynchronous repetitive control of discrete-time Markovian switching systems ⋮ Robust H-infinity filter for a class of polytopic Delta operator systems ⋮ Unnamed Item ⋮ Design of a robust output-feedback-based modified repetitive-control system ⋮ Active disturbance rejection in repetitive control systems ⋮ Optimisation of control and learning actions for a repetitive-control system based on Takagi–Sugeno fuzzy model ⋮ Improving disturbance-rejection performance in a modified repetitive-control system based on equivalent-input-disturbance approach
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