Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming

Hu, Jianjun; Goodman, Erik D.

doi:10.1007/0-387-23254-0_9

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Five GA runs were done with each fitness function, and the fittest two were selected. 6 Table 6 gives the control statistics of the evolved component fault-tolerant controllers, and Figures 12-13 show the circuit diagram and step response for the fittest controller evolved using the ISE fitness function. The statistics show that faulttolerant controllers can perform comparably to those evolved without fault-tolerance in the fitness function.…”

Section: Fault-tolerant Controller Synthesismentioning

confidence: 99%

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Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot

Hollinger

Gwaltney

2006

Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation

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In this paper, a genetic algorithm (GA) is used to design faulttolerant analog controllers for a piezoelectric micro-robot. Firstorder and second-order functions are developed to model the robot's piezoelectric actuators, and the GA is used to evolve closed-loop controllers for both models. The GA is first used to assist in traditional PID design and is later used to synthesize variable topology analog controllers. Through the use of a compact circuit representation, runtimes are minimized and controllers are synthesized with minimum population sizes and components. Fault-tolerance is built into the fitness function to facilitate the design of controllers robust to both actuator failure and component failure. The GA is successfully used to design synthetic controllers and to optimize a traditional PID design. This research shows the advantages of GA assisted design when applied to robot-control problems.

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Section: Fault-tolerant Controller Synthesismentioning

confidence: 99%

“…Hu and Goodman present further research in developing faulttolerant analog circuitry using genetic programming [6]. They use a bond tree representation to design analog filters while taking advantage of a hierarchical fair competition algorithm to maximize sustainability.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot

Hollinger

Gwaltney

2006

Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation

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show abstract

“…There are many other approaches in the literature (Phelps et al, 2000;Schenkel et al, 2001;Smedt and Gielen, 2003), but each is forced to trade oif accuracy for feasible mntime, or pessimistic design. GP tactics such as Hu and Goodman, 2004b) are too expensive for refining designs.…”

Section: Current Industrial Practice: Detailsmentioning

confidence: 99%

Genetic Programming Theory and Practice III

Yu¹,

Riolo²,

Worzel³

2006

Genetic Programming

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Theoretical foundations of automated synthesis using Bond-Graphs and genetic programming

Kayani¹

2008

2008 4th International Conference on Emerging Technologies

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Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming

Cited by 3 publications

References 16 publications

Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot

Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot

Genetic Programming Theory and Practice III

Theoretical foundations of automated synthesis using Bond-Graphs and genetic programming

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