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Compensation for time-delayed feedback bang-bang control of quasi-integrable Hamiltonian systems 被引量:4
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作者 LIU ZhongHua1 & ZHU WeiQiu2 1 Department of Civil Engineering, Xiamen University, Xiamen 361005, China 2 Department of Mechanics, State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China 《Science China(Technological Sciences)》 SCIE EI CAS 2009年第3期688-697,共10页
The stochastic averaging method for quasi-integrable Hamiltonian systems with time-delayed feedback bang-bang control is first introduced. Then, two time delay compensation methods, namely the method of changing contr... The stochastic averaging method for quasi-integrable Hamiltonian systems with time-delayed feedback bang-bang control is first introduced. Then, two time delay compensation methods, namely the method of changing control force amplitude (CFA) and the method of changing control delay time (CDT), are proposed. The conditions applicable to each compensation method are discussed. Finally, an example is worked out in detail to illustrate the application and effectiveness of the proposed methods and the two compensation methods in combination. 展开更多
关键词 time-delayed FEEDBACK CONTROL COMPENSATION method bang-bang CONTROL quasi-integrable HAMILTONIAN system
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Stochastic optimal control of partially observable nonlinear quasi-integrable Hamiltonian systems 被引量:2
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作者 FENG Ju, ZHU WeiQiu & YING ZuGuang Department of Mechanics, State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2010年第1期147-154,共8页
The stochastic optimal control of partially observable nonlinear quasi-integrable Hamiltonian systems is investigated. First, the stochastic optimal control problem of a partially observable nonlinear quasi-integrable... The stochastic optimal control of partially observable nonlinear quasi-integrable Hamiltonian systems is investigated. First, the stochastic optimal control problem of a partially observable nonlinear quasi-integrable Hamiltonian system is converted into that of a completely observable linear system based on a theorem due to Charalambous and Elliot. Then, the converted stochastic optimal control problem is solved by applying the stochastic averaging method and the stochastic dynamical programming principle. The response of the controlled quasi Hamiltonian system is predicted by solving the averaged Fokker-Planck-Kolmogorov equation and the Riccati equation for the estimated error of system states. As an example to illustrate the procedure and effectiveness of the proposed method, the stochastic optimal control problem of a partially observable two-degree-of-freedom quasi-integrable Hamiltonian system is worked out in detail. 展开更多
关键词 quasi-integrable HAMILTONIAN system PARTIAL OBSERVATION STOCHASTIC optimal control
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