2020
DOI: 10.1080/00207721.2020.1746439
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Robust adaptive sliding mode control for discrete singular systems with randomly occurring mixed time-delays under uncertain occurrence probabilities

Abstract: This paper is concerned with the problem of robust adaptive sliding mode control (RASMC) for discrete singular systems subject to randomly occurring mixed time-delays (ROMTDs) under uncertain occurrence probabilities. The mixed time delays are considered, which are comprised of both the discrete interval delays and infinite distributed delays. Meantime, two random variables obeying the Bernoulli distribution are utilised to depict the phenomena of randomly occurring discrete time-varying delay and distributed … Show more

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Cited by 33 publications
(17 citation statements)
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“…(13) assures thatθ is asymptotically stable. In other words, if k θ , k α , λ θ , and λ α are selected to satisfy (19), then the linear system given in (17) is asymptotically stable, which leads to the stability of the nonlinear system given by (15) around the equilibrium point [29]. This completes the proof of the theorem.…”
Section: ) Sliding Phase Stabilitymentioning
confidence: 90%
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“…(13) assures thatθ is asymptotically stable. In other words, if k θ , k α , λ θ , and λ α are selected to satisfy (19), then the linear system given in (17) is asymptotically stable, which leads to the stability of the nonlinear system given by (15) around the equilibrium point [29]. This completes the proof of the theorem.…”
Section: ) Sliding Phase Stabilitymentioning
confidence: 90%
“…It should be pointed out that it is always possible to select the sliding surface gains k θ , k α , λ θ , and λ α such that (19) is satisfied (see Remark 3). The conditions given in (19) ensure that all eigenvalues of A are in the open left-half of the complex plane. Hence, θ , α, andα are asymptotically stable.…”
Section: ) Sliding Phase Stabilitymentioning
confidence: 99%
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“…and p j s for j = 1, 2, 3 are defined in (16), (17), and (18), respectively. The constant c in (44) is set as 1, and the initial values for the control input filter (44) and HOSD (43) in all the following simulations are all zeros.…”
Section: A Controller Design For Example Systemsmentioning
confidence: 99%
“…In universal approximator-based adaptive controllers, neural networks or fuzzy logic systems are used to capture and compensate for the unknown dynamic structure. Second, sliding-mode control (SMC) algorithms for continuous and discrete nonlinear systems [10]- [16] are also being actively researched and adopted. In the SMC, some discontinuous switching control action forces the system dynamics to the sliding surface regardless of the unmodelled uncertainties in the controlled system.…”
Section: Introductionmentioning
confidence: 99%