Abstract

In practical industrial applications, the networked control system is often affected by external factors and internal components in operation, which leads to the fluctuation of some data transmitted by the system and reduces the system performance. Therefore, to ensure the normal operation of the system is the key, on this basis, we also need to make the system satisfy certain performance indicators. In this paper, guaranteed cost control for networked control systems with time delay and time-varying sampling period is studied. By constructing a more general system model, we give a design method of guaranteed performance controller to make the closed-loop system asymptotically stable within the allowable range and and satisfies certain performance indicators. Firstly, we construct the reasonable Lyapunov function and performance index function. According to the relevant lemma, the sufficient conditions for the stability of the system are obtained by equivalent transformation of LMI. Then, we design a guaranteed performance controller to minimize the upper bound of the system performance index. In the design process, more free variables are introduced, and the convexity of the function is used for equivalent transformation as far as possible to make the results less conservative. Finally, we use MATLAB to simulate and prove that the method is feasible.

Highlights

  • The emergence of networked control system brings great convenience to the control field

  • Speaking, guaranteed cost control refers to the ability to master the optimal method of the system to achieve the expected goal, and make the performance index not exceed the specified range [4]

  • For the closed-loop system (11) and the performance index function (12), if there are gain matrices K and ∆K, so that the system (11) with any uncertain factors is asymptotically stable and satisfies J ≤ J *, J * is the upper bound of the guaranteed performance index, and u(k) = (K + ∆K )z(k) is the guaranteed cost control law of the system (11) and the cost function (12)

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Summary

Introduction

The emergence of networked control system brings great convenience to the control field. Literature [13] considered the time-delay, and the state feedback controller was designed by using time-varying observer, LMI and Lyapunov function. The practicability of this method was demonstrated by experiments. International Journal of Sensors and Sensor Networks 2021; 9(1): 38-44 method for a system H∞ controller, which modeled NCSs with variable sampling periods as switching systems, designed a reasonable H∞ controller, and optimized it using LMIs constraints. For nonlinear time-varying delay systems, Literature [15] studied the fuzzy sampling optimal control problem by using input delay and free weight matrix method, and gave the conditions for the existence of optimal controllers.

Problem Statement and Modeling
Main Results
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