Stability-Based Controller Design of Cloud Control System With Uncertainties

Abstract

A cloud control system (CCS) is inherently uncertain due to the dynamic services and resources in cloud computing. In this paper, an approach of modeling and controller design for CCS is proposed that considers the uncertainties existing in the controlled plant, network, and controller simultaneously; then, a general framework for modeling and controlling uncertain control systems is constructed. First, a typical CCS structure is presented, and the uncertainties in the CCS are analyzed and decomposed. On this basis, a generalized uncertain state-space model is established, which includes the interval controlled plant and the stochastic network, considering the time-delay and packet loss. Meanwhile, the cloud controller model with interval parameters and stochastic time-delay is designed, which includes the state observer and control law. Then, based on the Lyapunov stability theorem and the linear matrix inequality (LMI) method, a stability criterion for obtaining the parameters of the cloud controller is proposed, in which all the results are expressed in the form of the LMI. Finally, simulation results show the effectiveness and generalization performance of the designed cloud controller.