Abstract:We scrutinize the problem of robust H ∞ control for a class of Markovian jump uncertain systems with interval timevarying and distributed delays. The Markovian jumping parameters are modeled as a continuous-time finite-state Markov chain. The main aim is to design a delay-dependent robust H ∞ control synthesis which ensures the mean-square asymptotic stability of the equilibrium point. By constructing a suitable Lyapunov-Krasovskii functional (LKF), sufficient conditions for delay-dependent robust H ∞ control … Show more
“…On the other hand, the research efforts given to S-MJNCSs were still limited, especially for switching systems with time-delay, [26][27][28] which may cause poor performance, oscillation, and even instability. 7 To deal with delay problem, 29,30 proposed some methods to analyze the effect of the network transmission delay on linear NCSs.…”
The H ∞ control problem for networked semi-Markovian jump systems (S-MJSs) with generally incomplete time-varying transition probabilities (GITTPs) and distributed delays is addressed in this article. Firstly, the TPs considered herein may be exactly known, merely known with lower and upper bounds, or unknown, meanwhile the distributed delays own a probability density function as its kernel. Secondly, the closed-loop networked S-MJSs is established with GITTPSs and distributed delays. Thirdly, to make full use of the characteristic of delay probability distribution, a generalized discrete-Bessel summation inequality and a Lyapunov-Krasovskii functional (LKF) are developed by distributed kernel. Then, by applying the Lyapunov method with generalized summation inequality and utilizing an equivalent transformation method to deal with the unknown TPs, several sufficient conditions that guarantee a prescribed H ∞ performance for networked S-MJSs are established. Eventually, two simulation examples including a single machine infinite bus power systems are presented to illustrate the effectiveness of the proposed theoretical findings.
“…On the other hand, the research efforts given to S-MJNCSs were still limited, especially for switching systems with time-delay, [26][27][28] which may cause poor performance, oscillation, and even instability. 7 To deal with delay problem, 29,30 proposed some methods to analyze the effect of the network transmission delay on linear NCSs.…”
The H ∞ control problem for networked semi-Markovian jump systems (S-MJSs) with generally incomplete time-varying transition probabilities (GITTPs) and distributed delays is addressed in this article. Firstly, the TPs considered herein may be exactly known, merely known with lower and upper bounds, or unknown, meanwhile the distributed delays own a probability density function as its kernel. Secondly, the closed-loop networked S-MJSs is established with GITTPSs and distributed delays. Thirdly, to make full use of the characteristic of delay probability distribution, a generalized discrete-Bessel summation inequality and a Lyapunov-Krasovskii functional (LKF) are developed by distributed kernel. Then, by applying the Lyapunov method with generalized summation inequality and utilizing an equivalent transformation method to deal with the unknown TPs, several sufficient conditions that guarantee a prescribed H ∞ performance for networked S-MJSs are established. Eventually, two simulation examples including a single machine infinite bus power systems are presented to illustrate the effectiveness of the proposed theoretical findings.
“…Moreover, it has been well recognised that, delays and uncertainties are frequently encountered in many practical systems and often a primary source of instability and performance degradation of a control system [15]. Therefore, it is important to incorporate uncertainties and delays in the model of various systems [14, 16–21]. In addition, as we all know, system properties usually can be formalised as frequency domain inequality (FDI) conditions on the transfer function, such as the bounded‐realness and the positive‐realness [22].…”
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