Lampros N. Bikas, Konstantinos M. Vervelithanos, George A. Rovithakis
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Discrete-time prescribed performance control with time-varying transmission intervals
This paper extends the prescribed performance control (PPC) methodology to discrete-time control with time-varying transmission intervals. Starting from a continuous-time PPC scheme that enforces pre-specified, user-defined performance bounds on output tracking errors, we develop a dynamic control protocol that determines sampling instants in real-time. This approach preserves closed-loop stability and output tracking performance while allowing transmission intervals to vary according to the current error distance from the performance bounds. By adapting the sampling times accordingly, our method reduces sampling frequency and improves system efficiency and reliability. Furthermore, we show that stricter performance requirements result in smaller transmission intervals, whereas relaxed requirements permit larger ones. Theoretical analysis and simulation results verify the effectiveness of the proposed approach.
期刊介绍:
The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field.
The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering.
The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications.
Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results.
The design and implementation of a successful control system requires the use of a range of techniques:
Modelling
Robustness Analysis
Identification
Optimization
Control Law Design
Numerical analysis
Fault Detection, and so on.