Title :
Pareto near-optimal strategy of multimodeling systems
Author :
Mukaidani, Hiroaki
Author_Institution :
Hiroshima City Univ., Japan
Abstract :
In this paper, the authors study the Pareto near-optimal strategy for multiparameter singularly perturbed system (MSPS). The main contribution is to propose a new method for obtaining the Pareto near-optimal strategy. They show that the resulting near-optimal strategy achieves the cost functional Jj*+O(||μ||). Moreover, they also show that the resulting Pareto near-optimal strategy is equivalent to the existing composite strategy
Keywords :
Pareto distribution; control system analysis; control system synthesis; optimal control; singularly perturbed systems; Pareto near-optimal strategy; cost functional; multimodeling systems; multiparameter singularly perturbed system; Cost function; Design methodology; Filtering; Large-scale systems; Optimal control; Power system dynamics; Power system stability; Riccati equations; Uniform resource locators; Vectors;
Conference_Titel :
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-7108-9
DOI :
10.1109/IECON.2001.976533
