Optimal Tracking Design for Hybrid Uncertain Input-Delay Systems under State and Control Constraints via Evolutionary Programming Approach(Algorithm Theory)

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概要

• 論文の詳細を見る

• A novel digital redesign methodology based on evolutionary programming (EP) is introduced to find the 'best' digital controller for optimal tracking design of hybrid uncertain multi-input/ multi-output (MIMO) input-delay systems with constraints on states and controls. To deal with these multivariable concurrent specifications and system restrictions, instead of conventional interval methods, the proposed global optimization scheme is able to practically implement optimal digital controller for constrained uncertain hybrid systems with input time delay. Further, an illustrative example is included to demonstrate the efficiency of the proposed method.

• 社団法人電子情報通信学会の論文
• 2005-10-01

著者

• Chang Yu-pin

  Department Of Electronic Engineering Southern Taiwan University Of Technology

関連論文

• Optimal Tracking Design for Hybrid Uncertain Input-Delay Systems under State and Control Constraints via Evolutionary Programming Approach(Algorithm Theory)

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