Dissipative analysis and control for network-based systems

Network -based control systems are a kind of control systems that sensors, controllers and actuators are connected through communication networks. Recent years have witnessed the tremendous developments of network -based control systems since the use of communication networks in control systems enables a remote execution of control, correspondingly increases system flexibility and reduces installation and maintenance costs. However, the insertion of communication networks inevitably induces data transmission delays and packet dropouts, which usually have negative effects on the performance of the control system and even cause the system instability. Moreover, in the context of network -based control systems, the communication bandwidth is a scarce network resource, so how to efficiently utilise the limited network resource should be taken into account in system modeling, analysis and controller design. On the other hand, in the last several decades, dissipativity, which is an important property of control systems, has undergone a remarkable revival due to its wide applications in diverse areas, such as signal processing, mechanical systems, analog electronics and so on. For network -based systems, dissipativity may be destroyed when network -induced delays and data packet dropouts occur. Therefore, it is significant to investigate the effects of network -induced delays and data packet dropouts on the dissipativity of network -based control systems. This dissertation is concerned with dissipative analysis and dissipative controller synthesis for network -based systems. Based on some new network -based modeling approach, delay -dependant dissipativity criteria are derived by constructing some novel Lyapunov-Krasovskii functionals. By introducing a novel iterative algorithm and matrix inequality techniques, dissipative controller design methods are proposed. Several simulations are conducted to demonstrate the effectiveness of the proposed results.