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检索条件"主题词=Recursive prediction error method"
19 条 记 录,以下是11-20 订阅
排序:
PERFORMANCE BOUNDS FOR TRACKING ALGORITHMS BASED ON A TIME-VARYING THIRD-ORDER NONLINEAR MODEL
PERFORMANCE BOUNDS FOR TRACKING ALGORITHMS BASED ON A TIME-V...
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IET International Conference on Radar Systems (Radar 2007)
作者: Anders Erik Nordsjo Saab Microwave Systems AB Jarfalla Sweden
The problem of deriving accurate algorithms for tracking of maneuvering targets is central in many applications, such as radar and sonar. Assuming that a certain model is indeed capable of describing the unknown syste... 详细信息
来源: 评论
Sensitivity models for nonlinear filters with application to recursive parameter estimation for nonlinear state-space models
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IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS 2001年 第2期148卷 137-145页
作者: Bohn, C Unbehauen, H Continental AG Strateg Technol Dept D-30419 Hannover Germany Ruhr Univ Bochum Dept Elect Elect & Informat Sci Control Engn Lab D-44780 Bochum Germany
If a recursive prediction error method is applied for the parameter estimation of state-space models, a filter must be used as the predictor, resulting in an adaptive filtering problem. Whereas for linear systems the ... 详细信息
来源: 评论
Neural Networks for Optimal Control
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IFAC Proceedings Volumes 1995年 第8期28卷 361-366页
作者: Ole Sørensen Aalborg University Inst. of Electronic Systems Dept. of Process Engineering Fredrik Bajers vej 7 DK-9220 Aalborg Ø Denmark phone +45 98 15 85 22 telefax +45 98 15 17 39
Two neural networks are trained to act as an observer and a controller, respectively, to control anon-linear, multi-variable process. The process model is the well-known Innovation State Space model. Firstly, the obse... 详细信息
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IDENTIFICATION OF RUDDER YAW AND RUDDER ROLL STEERING MODELS BY USING recursive prediction error TECHNIQUES
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OPTIMAL CONTROL APPLICATIONS & methodS 1994年 第2期15卷 101-114页
作者: ZHOU, WW CHERCHAS, DB CALISAL, S UNIV BRITISH COLUMBIA DEPT MECH ENGNVANCOUVER V6T 1W5BCCANADA
Linear and non-linear recursive prediction error (RPE) methods have been employed for the purpose of identification of the dynamics of ship rudder-yaw and -roll motions. The evaluations of the goodness of model struct... 详细信息
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Estimation of the State and Parameters of a Bioprocess Using the recursive prediction error method
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IFAC Proceedings Volumes 1989年 第6期22卷 507-512页
作者: J.M. Flaus A. Chéruy Labomtoire d'Automatique de Grenoble INPG. Grenoble France
This paper presents an alternative to the Extended Kalman filter for the estimation of the state and parameters of a bioprocess. This method called recursive prediction error method has been developped by Ljung [83]an... 详细信息
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ADAPTIVE STATE TRACKING
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IEE PROCEEDINGS-D CONTROL THEORY AND APPLICATIONS 1988年 第6期135卷 429-435页
作者: LIU, L SINHA, NK Department of Electrical & Computer Engineering McMaster University Hamilton Canada
The problem of adaptive state tracking is considered, where a specified state is required to follow the reference input signal. It is assumed that the system is completely controllable and observable, but the particul... 详细信息
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Identification methods for Nonlinear MISO Systems
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IFAC Proceedings Volumes 1987年 第5期20卷 233-238页
作者: M. Kortmann H. Unbehauen Department of Electrical Engineering Ruhr-University Bochum Automatic Control Laboratory D-4630 Bochum 1 FRG
Two new on-line identification algorithms for the recursive estimation of the parameters of a multi-input single-output nonlinear process which can be described by a multi-input single-output Hammerstein model are pro... 详细信息
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MODIFIED APPROACH TO STATE-SPACE SELF-TUNING CONTROL WITH POLE ASSIGNMENT
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IEE PROCEEDINGS-D CONTROL THEORY AND APPLICATIONS 1985年 第6期132卷 257-262页
作者: OMANI, FK SINHA, NK Department of Electrical & Computer Engineering McMaster University Hamilton Canada
The paper presents a modified approach to state-space self-tuning pole-assignment control. The recursive prediction error method is used for joint state and parameter estimation in the controllable canonical form. Thi... 详细信息
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Adaptive Control in Practice: Possibilities and Constraints
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IFAC Proceedings Volumes 1985年 第15期18卷 133-137页
作者: M.W. Tijsseling H.J. de Groot Dow Chemical Company Terneuzen The Netherlands Gist Brocades Company Delft The Netherlands
Feedback is the most frequently used method for controlling a process variable. It does not require precise tuning, but it may turn out slow for fast upsets. Feedforward is able to handle these disturbances if it is t... 详细信息
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