Study on multiobjective control and observer

Abstract

This dissertation addresses the design methodology in control and observer using multiobjective approach. In the design of control systems, it is required to meet numerous performance requirements. In this viewpoint, this thesis investigates an observer-based control, an event-triggered control, and an adaptive observer dealing with multi-objectives. Based on Lyapunove theory, the control and observer gain has successfully derived by solving linear matrix inequalities (LMIs) that is numerically tractable. The effectiveness of the proposed scheme is shown through numerical examples for the lateral movement of a steel making process, networked control systems, and economic systems. The results clarify flexibility and versatility of the multiobjective approach.