Optimal Tracking Design for Sampled-Data Systems with Input Time Delay under State and Control Constraints

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概要

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• The optimal tracking design and its corresponding digital redesign for sampled-data systems with input time delay under state and control-input constraints have been proposed in this paper. The multi-objective evolutionary programming (MOEP) is utilized for achieving the desired goals, and the inter-sampling behavior of the designed sampled-data system via the suboptimal digital redesign approach is also considered. To satisfy the pre-specified state and control-input constraints, the MOEP is employed for dynamically tuning the LQ-tracker and the sampling period.

• 一般社団法人日本機械学会の論文
• 2002-03-15

著者

• TSAI Jason

  Control System Laboratory, Department of Electri-cal Engineering, National Cheng Kung University

• Tsai J

  Control System Laboratory Department Of Electrical Engineering National Cheng Kung University

• Shieh L‐s

  Department Of Electrical And Computer Engineering University Of Houston

• CHANG Yu-Pin

  Control System Laboratory, Department of Electrical Engineering, National Cheng Kung University

• SHIEH Leang-San

  Department of Electrical and Computer Engineering University of Houston

• Chang Y‐p

  Control System Laboratory Department Of Electrical Engineering National Cheng Kung University

• Tsai Jason

  Control System Laboratory Department Of Electri-cal Engineering National Cheng Kung University

関連論文

• Digital Redesign of State-Delayed Systems Counting the Computer-Control Delay via Law of Mean
• Optimal Tracking Design for Sampled-Data Systems with Input Time Delay under State and Control Constraints
• Continuous Sliding Mode Control for Systems Subjected to Nonlinear Multiple Time-Varying Delayed Perturbations
• Robust Stabilization of Singular Systems Including State Delay via Slinding Mode Control
• PID Control of Unstable Processes with Time Delay : A Comparative Study
• Optimal Digital Redesign of Cascaded Continuous-Time System with Input Time Delays
• Model Conversions of Uncertain Linear System via the Interval Tuning Bilinear Approximation Method

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