کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
473552 698797 2008 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An observer-based tracker for hybrid interval chaotic systems with saturating inputs: The chaos-evolutionary-programming approach
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
An observer-based tracker for hybrid interval chaotic systems with saturating inputs: The chaos-evolutionary-programming approach
چکیده انگلیسی

This paper presents a novel chaos-evolutionary-programming algorithm (CEPA), which merges a modified chaotic optimization algorithm (COA) with a modified evolutionary-programming algorithm (EPA). Due to the nature of chaotic variable, i.e. pseudo-randomness, ergodicity and irregularity, the CEPA can effectively and quickly search many local minimum or maximum in parallel thereby enhancing the probability of finding the global one. The CEPA is then successfully applied to solve challenging non-convex optimization problems and to obtain the best nominal dual-rate observer-based digital tracker for robust tracking a periodic solution embedded into a hybrid interval chaotic system with saturating inputs and not to track the strange attractor itself. An illustrative example is presented to demonstrate the effectiveness of the proposed algorithm.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Mathematics with Applications - Volume 55, Issue 6, March 2008, Pages 1225–1249
نویسندگان
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