Event-triggered dual-mode predictive control for constrained nonlinear systems with continuous/intermittent detection |
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| Institution: | 1. School of Automation, Beijing Institute of Technology, Beijing 100081, PR China;2. School of Engineering, Griffith University, Gold Coast, Queensland 4222, Australia;1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;2. Department of Control Science and Engineering, Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, Shanghai 200093, China;3. Department of Mathematics, Yangzhou University, Yangzhou 225002, China;4. Communication Systems and Networks (CSN) Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia |
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| Abstract: | This paper investigates the problem of event-triggered model predictive control for constrained nonlinear systems. A dual-mode control strategy combined with two different event-triggered mechanisms are introduced to reduce computational and communication loads. For the event-triggered mechanisms, two cases, continuous detection and intermittent detection, are considered, respectively. In order to avoid the transmission of continuous predicted control input trajectories, the actual control signals are generated under a sample-and-hold manner. A decreasing prediction horizon is introduced to reduce the complexity of optimization problems and a tightened state constraint is designed to achieve robust constraint satisfaction. The sufficient conditions are derived to guarantee the feasibility and stability of the closed-loop system. The performance of the proposed strategy is illustrated by a simulation example. |
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| Keywords: | Event-triggered mechanisms Model predictive control Nonlinear systems Constraints Disturbances |
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