18 research outputs found
Study on multiobjective control and observer
DoctorThis 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
Sliding Mode Control using Robust Model Predictive Control in Reaching Mode for Lateral Movement System
MasterIn this paper, to improve sliding mode control, revised controller is proposed. A method of robust model predictive control is employed to improve performance in reaching mode. To apply robust model predictive control, Uncertain discrete time systems can be transformed to polytopic uncertain system. Consequently, the employed robust model predictive control is minimizing the upper bound of the cost function with infinite horizon for uncertain polytopic system. To show effectiveness, the method is applied to lateral motion of a hot strip. The strong point of the proposed method is optimization of the cost function. As a result, the convergence rate to sliding surface is improved in reaching mode. Moreover, input constraint can be considered. A numerical example in lateral movement system illustrates the effectiveness of the proposed method by comparing it with existing methods
Active disturbance rejection control for strip steering control in hot strip finishing mill
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Uniformly Ultimately Boundedness Stability Condition of Systems with State Delay and Input Backlash
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