tailieunhanh - Báo cáo hóa học: " Application of Evolution Strategies to the Design of Tracking Filters with a Large Number of Specifications"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Application of Evolution Strategies to the Design of Tracking Filters with a Large Number of Specifications | EURASIP Journal on Applied Signal Processing 2003 8 766-779 2003 Hindawi Publishing Corporation Application of Evolution Strategies to the Design of Tracking Filters with a Large Number of Specifications Jesus García Herrero Departamento de Informatica Escuela Politecnica Superior EPS Universidad Carlos III de Madrid 28911 Leganes Madrid Spain Email jgherrer@ Juan A. Besada Portas Departamento de Senales Sistemas y Radiocomunicaciones ETSI Telecomunicación Universidad Politecnica de Madrid 28040 Madrid Spain Email besada@ Antonio Berlanga de Jesus Departamento de Informatica EPS Universidad Carlos III de Madrid 28911 Leganes Madrid Spain Email aberlan@ Jose M. Molina Lopez Departamento de Informatica EPS Universidad Carlos III de Madrid 28911 Leganes Madrid Spain Email molina@ Gonzalo de Miguel Vela Departamento de Senales Sistemas y Radiocomunicaciones ETSI Telecomunicación Universidad Politecnica de Madrid 28040 Madrid Spain Email gonzalo@ Jose R. Casar Corredera Departamento de Senales Sistemas y Radiocomunicaciones ETSI Telecomunicación Universidad Politóecnica de Madrid 28040 Madrid Spain Email jramon@ Received 28 June 2002 and in revised form 14 February 2003 This paper describes the application of evolution strategies to the design of interacting multiple model IMM tracking filters in order to fulfill a large table of performance specifications. These specifications define the desired filter performance in a thorough set of selected test scenarios for different figures of merit and input conditions imposing hundreds of performance goals. The design problem is stated as a numeric search in the filter parameters space to attain all specifications or at least minimize in a compromise the excess over some specifications as much as possible applying global optimization techniques coming from evolutionary computation field. Besides a new methodology is proposed to integrate .