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摘要: 针对参数未知但恒定的随机系统, 研究了基于最大互信息指标的对偶控制. 运用了Kalman滤波器估计随机系统未知参数的方法; 研究了最大互信息指标所具有的对偶特性, 即跟踪理想的目标以及探测未知参数的不确定性; 采用了两级优化算法获得次优对偶控制律. 算例验证了此算法的有效性和可行性.Abstract: Dual control of the stochastic system with the unknown parameter based on maximum mutual information index is studied in this paper. The unknown parameters of the stochastic system are estimated via Kalman filter. Maximum mutual information index is considered because it includes the dual property that tracks the desired output and probes the uncertainty of unknown parameters. A two-level algorithm is adopted so as to obtain the approximating suboptimal solution of the dual control law. An example is demonstrated to show the effectiveness and feasibility of this method.
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Key words:
- Dual control /
- Kalman filter /
- maximum mutual information /
- stochastic system
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