A5066492464- Iterative Learning Control Systems
- Advanced machining processes and optimization
- Piezoelectric Actuators and Control
- Stability and Control of Uncertain Systems
- Advanced Surface Polishing Techniques
- Advanced Numerical Analysis Techniques
- Stability and Controllability of Differential Equations
- Control Systems and Identification
- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
- Shape Memory Alloy Transformations
- Control and Stability of Dynamical Systems
- Fault Detection and Control Systems
- Matrix Theory and Algorithms
- Numerical methods for differential equations
- Nonlinear Dynamics and Pattern Formation
- Quantum chaos and dynamical systems
- Control Systems in Engineering
- Model Reduction and Neural Networks
- Advanced Measurement and Metrology Techniques
- Elasticity and Wave Propagation
- Metallurgy and Material Forming
- Advanced Control Systems Design
- Neural Networks and Applications
- Petri Nets in System Modeling
University of Zielona Góra
2015-2024
Nicolaus Copernicus University
2008-2019
University of Southampton
2005-2018
Institute of Physics
2008-2017
Czech Academy of Sciences, Institute of Information Theory and Automation
2016
John Wiley & Sons (United Kingdom)
2016
University of Wuppertal
2005-2012
Eindhoven University of Technology
2008
Wrocław University of Science and Technology
1981-2002
University of Wrocław
1995-1996
This brief develops an innovative robust iterative learning control law using the repetitive process setting. The new design is experimentally validated through a comprehensive set of experiments highlighting capabilities for position tracking permanent magnet synchronous motor subject to load disturbances in presence uncertainties selected parameters.
Discrete linear repetitive processes are a distinct class of two-dimensional (2-D) systems with applications in areas ranging from long-wall coal cutting through to iterative learning control schemes. The feature which makes them other classes 2-D is that information propagation one the two directions only occurs over finite duration. This, turn, means theory must be developed for them. In this paper, an LMI approach used produce highly significant new results on stability analysis these and...
A robust iterative learning control (ILC) method is proposed for industrial batch processes with input delay subject to time-varying uncertainties, based on a two-dimensional (2D) system description of process operation. To compensate the delay, 2D state predictor established predict augmented states, such that ILC design developed 'delay-free' using only measured output errors current and previous cycles. Delay-dependent stability conditions resulting are in terms matrix inequalities by...
This paper considers differential linear repetitive processes which are a distinct class of two-dimensional continuous-discrete systems both physical and theoretic interest. The substantial new results on the application linear-matrix-inequality-based tools to stability analysis controller design for these processes, where control laws used has well defined basis. It is also shown that extend naturally cases when there uncertainty in state-space model underlying dynamics.
This brief deals with the problem of positive real control for uncertain two-dimensional (2-D) discrete systems described by Fornasini-Marchesini local state-space model. The parameter uncertainty is time-invariant and norm-bounded. we address design a state feedback controller that robustly stabilizes system achieves extended strictly realness resulting closed-loop all admissible uncertainties. A version 2-D established. Based on this, condition solvability derived in terms linear matrix...
This paper considers iterative learning control law design using the theory of linear repetitive processes. setting enables trial-to-trial error convergence and along-the-trial performance to be considered simultaneously in design. It is also shown that this extends naturally include robustness unmodeled plant dynamics. The results from experimental application these laws a gantry robot performing pick place operation are given, together with discussion positioning approach relative...
AbstractThis paper considers the problem of positive real control for two-dimensional (2-D) discrete systems described by Roesser model and also linear repetitive processes, which are another distinct sub-class 2-D both theoretic applications interest. The purpose this is to design a dynamic output feedback controller such that resulting closed-loop system asymptotically stable transfer function from disturbance controlled extended strictly real. We first establish version realness state...
In the paper, LMI techniques to check asymptotic stability of 2D linear, continuous systems are shown. They extended calculate lower bounds for margins and design appropriate state feedback regulators stabilising such systems.
In this paper, the method for obtaining various state-space realizations of Roesser type an assigned two-variable transfer function is developed. Two-variable elementary polynomial operations are employed. A new version general, model constructed. One also throws some light on problem mutual connections among different 2-D models such as Roesser, Fornasini-Marchesini, and general one. Singular well standard (nonsingular) considered.