A Multiobjective Approach for Source Estimation in Fuzzy Networked Systems

作者：Chiu Wei Yu^*; Chen Bor Sen; Poor H Vincent

来源：IEEE Transactions on Circuits and Systems I-Regular Papers, 2013, 60(7): 1890-1900.

DOI：10.1109/TCSI.2012.2226488

• Evolutionary algorithms (EAs)
• fuzzy estimator
• fuzzy networked system
• linear matrix inequality (LMI)
• mixed H-2/H-infinity design
• multiobjective optimization problem (MOP)
• Pareto front
• quantization error
• random delay
• source estimation

In this paper, fuzzy networked systems with a randomly varying delay and quantization errors are considered to represent signal transmission systems of nonlinearly interactive sources. A source estimation scheme is proposed by using a multiobjective approach, addressing the concerns of estimation errors and transmission power consumption. A mixed H-2/H-infinity design is employed to enhance the estimation performance, while the number of quantized bits is optimized to reduce the power consumption. A Pareto front representation is adopted so that the proposed estimation scheme is designed from a broader perspective in contrast with the conventional single-objective approach. It turns out that the proposed source estimator parameters can serve as decision variables of a multiobjective optimization problem (MOP) with linear matrix inequality constraints. This MOP can be solved by using deterministic algorithms, such as interior-point methods, for solutions of internal variables and using stochastic algorithms, such as multiobjective evolutionary algorithms, for the global optimality. Numerical examples are provided to illustrate the proposed methodology.

• 出版日期2013-7
• 单位清华大学