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Iterative learning control for linear delay systems with deterministic and random impulses
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DOI：10.1016/j.jfranklin.2018.01.013.png)
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This paper investigates convergence of iterative learning control for linear delay systems with deterministic and random impulses by virtute of the representation of solutions involving a concept of delayed exponential matrix. We address linear delay systems with deterministic impulses by designing a standard P-type learning law via rigorous mathematical analysis. Next, we extend to consider the tracking problem for delay systems with random impulses under randomly varying length circumstances by designing two modified learning laws. We present sufficient conditions for both deterministic and random impulse cases to guarantee the zero-error convergence of tracking error in the sense of Lebesgue-p norm and the expectation of Lebesgue-p norm of stochastic variable, respectively. Finally, numerical examples are given to verify the theoretical results. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keyword:
DISCRETE-TIME-SYSTEMS
DIFFERENTIAL-EQUATIONS
CONSTANT-COEFFICIENTS
EXPONENTIAL STABILITY
ILC
CONTROLLABILITY
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3.7
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