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Dissipative iterative learning tracking control for time-delay first-order hyperbolic systems
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DOI：10.1002/asjc.70040.png)
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Abstract
En 中文
This paper studies the dissipative iterative learning control (ILC) for time-delay first-order hyperbolic systems (FOHSs). Firstly, by means of dissipativity analysis, the P-type learning algorithm is introduced to demonstrate that the time-delay FOHSs can achieve the perfect trajectory tracking over a finite-time interval. Then, by using the linear matrix inequality (LMI) technique, a sufficient condition is manifested for such systems to satisfy the dissipativity, and a solvability criterion of the LMI is further given. In addition, the dissipative ILC is investigated for the time-delay FOHSs in the irregular case. Finally, simulation examples are constructed to demonstrate the effectiveness of the proposed method.
Keywords:
dissipativity analysis
iterative learning control
P-type learning algorithm
time-delay first-order hyperbolic systems
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