Finite-Time Sliding-Mode Control of Markovian Jump Cyber-Physical Systems Against Randomly Occurring Injection Attacks

This article studies the static output feedback (SOF) secure control issue for cyber-physical systems against replay attacks. The fundamental purpose focuses on how to stabilize the closed-loop system regardless of whether the replay attacks occur. First, a detection scheme is presented that can find the behavior of the adversary and recognize which sensor suffers from the attacks. Then, the SOF controller is designed and the adverse influence induced by the replay attacks can be eliminated through the detection information. Thereafter, a sufficient condition has been established which guarantees the closed-loop system is stable and satisfies a prescribed H ∞ performance. Finally, simulation results verify the effectiveness and superiority of the presented design and detection scheme.

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

mentioning

confidence: 99%

Static output feedback secure control for cyber‐physical systems based on multisensor scheme against replay attacks

Zhao

2020

“…[17][18][19][20][21] The communication protocol problems have been considered using the SMC method in References 13,15, where a sliding mode controller has been constructed in Reference 15 to achieve a prescribed H ∞ performance level subject to the SCP scheduling. More recently, the SMC has been extended to the Markovian jump systems (MJSs) to deal with the network induced phenomena, [22][23][24][25][26][27] because MJSs can effectively characterize abrupt variations in system structures and model some complicated NCSs. 28 This inspires us to be concerned with an interesting topic, that is, how to utilize the SMC method, especially based on the dynamic output feedback (DOF), to deal with the MJSs under SCP.…”

Section: Introductionmentioning

confidence: 99%

Dynamic output feedback sliding mode control for Markovian jump systems under stochastic communication protocol and its application

Cao

Niu

Karimi

2020

Self Cite

This article investigates the dynamic output feedback control problem for a class of networked Markovian jump systems via sliding mode control method. The stochastic communication protocol schedules the communication between sensors and the controller, by which only one sensor node can access the network at one instant. First, a compensator at the controller side is utilized to yield the available measurement signals composed of the current measurement output transmitted by the selected sensor node and the past measurement output from other sensor nodes. A joint Markovian chain incorporating the Markovian chains of the system as well as the stochastic communication protocol is introduced to model the Markovian jump system subject to the stochastic communication protocol. And then, the dynamic output feedback sliding mode controller is designed and the stochastic stability is analyzed. Moreover, a feasible solving algorithm is provided via a projection technique. Finally, the proposed control scheme is verified via an electrical motor model.

“…This interesting results have been also extended to various complex systems including switched systems, 6 fuzzy systems, 7 and Markov jump systems. 8 However, it is worthy of noting that the aforementioned works include an implicit assumption, that is, the measured states/output signals are completely available for the designed controller for achieving the objective of FTB. In fact, the system components (eg, controllers, sensors and actuators) are often jointed via communication networks.…”

Section: Introductionmentioning

confidence: 99%

Finite‐time boundedness of sliding mode control under periodic event‐triggered strategy

Niu

Song

2020

Self Cite

This article investigates the problem of sliding mode control (SMC) for continuous-time systems under the requirement of finite-time boundedness (FTB), in which the state signals are periodically sampled and transmitted to the controller according to the pre-designed event-triggering condition. A key issue is how to utilize the less available state information to achieve the FTB of the closed-loop system. To this end, the continuous-time SMC law is changed into an implementable form dependent on the available sampled state via event triggering transmission. It is shown that the state trajectory of the controlled system can be driven onto the specified sliding surface before the given finite time, and then, remain within a domain around this sliding surface. Due to the characteristic of the periodic event-triggered scheme (ETS), the known partitioning strategy on the SMC with FTB is infeasible for this present case. Instead, we shall analyze the FTB of the closed-loop system over the whole given time, meanwhile, a selection condition on the robust term is given via the given time parameter. Finally, the numerical simulation results are provided to illustrate the proposed periodical event-triggered SMC scheme. K E Y W O R D S event-triggering mechanism, finite time boundedness, periodic sample, sliding mode control