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IEEE transactions on automatic control, 2020-03, Vol.65 (3), p.1264-1271
2020

Details

Autor(en) / Beteiligte
Titel
Finite-Time Sliding-Mode Control of Markovian Jump Cyber-Physical Systems Against Randomly Occurring Injection Attacks
Ist Teil von
  • IEEE transactions on automatic control, 2020-03, Vol.65 (3), p.1264-1271
Ort / Verlag
New York: IEEE
Erscheinungsjahr
2020
Link zum Volltext
Quelle
IEEE Electronic Library (IEL)
Beschreibungen/Notizen
  • This paper addresses a finite-time sliding-mode control problem for a class of Markovian jump cyber-physical systems. It is assumed that the control input signals transmitted via a communication network are vulnerable to cyber-attacks, in which the adversaries may inject false data in a probabilistic way into the control signals. Meanwhile, there may exist randomly occurring uncertainties and peak-bounded external disturbances. A suitable sliding mode controller is designed such that state trajectories are driven onto the specified sliding surface during a given finite-time (possibly short) interval. By introducing a partitioning strategy, the stochastic finite-time boundedness over the reaching phase and the sliding motion phase is analyzed, respectively. A key feature is that a set of mode-dependent sufficiently small scalars are introduced into some coupled Lyapunov inequalities such that the feasible solutions are easily obtained for the stochastic finite-time boundedness of the closed-loop systems. Finally, the practical system about a single-link robot-arm model is given to illustrate the present method.

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