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检索条件"机构=CRC for Robust and Adaptive Systems Department of Systems Engineering"
74 条 记 录,以下是71-80 订阅
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robust output feedback control for discrete-time nonlinear systems: the finite-time case
Robust output feedback control for discrete-time nonlinear s...
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IEEE Conference on Decision and Control
作者: J.S. Baras M.R. James Dept. of Electr. Eng. Maryland Univ. College Park MD USA Department of Systems Engineering and Cooperative Research Centre for Robust and Adaptive Systems Australian National University Canberra ACT Australia
Presents an approach to the solution of the output feedback robust control problem. The authors employ the concept of information state for output feedback dynamic games, and obtain necessary and sufficient conditions... 详细信息
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robust adaptive Quantization Via Kalman Filtering Techniques
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IFAC Proceedings Volumes 1992年 第14期25卷 529-534页
作者: S. Crisafulli R.R. Bitmead Centre for Robust and Adaptive Systems Department of Systems Engineering Research School of Physical Sciences and Engineering Australian National University GPO Box 4 Canberra ACT 2601 Australia
Channel errors significantly reduce the performance of adaptive dequantizers. In this paper, we extend the techniques used in Kaiman filter based adaptive quantization to arrive at new dequantization schemes which are... 详细信息
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Disturbance Rejection: on-line refinement of controllers by closed loop modelling
Disturbance Rejection: on-line refinement of controllers by ...
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American Control Conference (ACC)
作者: Zhuquan Zang Robert. R. Bitmead Michel Gevers Department of Systems Engineering and Centre for Robust and Adaptive Systems Research School of Physical Sciences and Engineering Australian National University Canberra ACT Australia Department of Automatic Control University of Louvain Louvain-la-Neuve Belgium
Many practical applications of control system design based on input-output measurements permit the repeated application of a system identification procedure operating on closed loop data together with successive refin... 详细信息
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Time discretization of continuous-time filters for hidden Markov model parameter estimation
Time discretization of continuous-time filters for hidden Ma...
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IEEE Conference on Decision and Control
作者: M.R. James V. Krishnamurthy F. Le Gland Department of Systems Engineering Research School of Physical Sciences Australian National University Canberra ACT Australia Cooperative Research Crntre for Robust and Adaptive Systems Department of System Engineering Australian National University Canberra ACT Australia ZInititut National de Recherche en Informatiquc et en Automstique-Sophia Antipolis La Valbonne France
The authors propose numerical techniques for parameter estimation of fast-sampled homogeneous Markov chains observed in white Gaussian noise. Continuous-time filters that estimate the quantities used in the expectatio... 详细信息
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