A PSO accelerated immune particle filter for dynamic state estimation

Proceedings - 2011 Canadian Conference on Computer and Robot Vision, CRV 2011

Volumn , Issue , 2011, Pages 72-79

  Akhtar, S ^a   Ahmad, A R ^a   Abdel Rahman, E M ^a   Naqvi, T ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

artificial immune system; dynamic state estimation; Particle filter; particle swarm optimization; soft computing

Indexed keywords

ARTIFICIAL IMMUNE SYSTEM; CONVERGENCE SPEED; DYNAMIC STATE ESTIMATION; ESTIMATION PROBLEM; GLOBAL OPTIMAL SOLUTIONS; HIGH MUTATION RATE; IMMUNE ALGORITHMS; LOCAL OPTIMA; LOCAL OPTIMAL; MUTATION OPERATIONS; MUTATION RATES; NONLINEAR STATE; PARTICLE FILTER; PARTICLE SWARM; SAMPLE IMPOVERISHMENT; SEARCH CAPABILITIES; SEQUENTIAL MONTE CARLO; SIMULATION RESULT; SOLUTION SPACE; SWITCHING DYNAMICS; TWO STAGE;

ALGORITHMS; COMPUTATIONAL EFFICIENCY; COMPUTER VISION; ESTIMATION; MONTE CARLO METHODS; NONLINEAR FILTERING; SOFT COMPUTING; STATE ESTIMATION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 80051828399     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CRV.2011.17     Document Type: Conference Paper

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