کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
396129 666250 2007 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Design of mixed H2/H∞H2/H∞ control systems using algorithms inspired by the immune system
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Design of mixed H2/H∞H2/H∞ control systems using algorithms inspired by the immune system
چکیده انگلیسی

We utilize optimization algorithms inspired by the immune system for treating the mixed H2/H∞H2/H∞ control problem. Both precisely known systems and uncertain systems with polytopic uncertainties are investigated. For the latter, a novel methodology is proposed to compute the worst case norms within the polytope of matrices. This methodology consists in defining the worst case norm computation as an implicit optimization problem with a special structure. We exploit this structure of the problem for its solution. The paper presents both mono and multiobjective optimization algorithms developed from the clonal selection principle. The former is the real-coded clonal selection algorithm (RCSA) and the latter is the multiobjective clonal selection algorithm (MOCSA). The complete design process involves the combination of synthesis and analysis. The RCSA is used for analysis, through the worst case norm computation for a given provided controller. The MOCSA is used for synthesis, working on a population of candidate controllers, until providing an estimate of the Pareto set for the mixed H2/H∞H2/H∞ control problem. The numerical examples illustrate the power and the validity of the proposed approach for robust control design. Moreover, our approach for worst case norm evaluation is compared with other approaches available in literature.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 177, Issue 20, 15 October 2007, Pages 4368–4386
نویسندگان
, , , ,