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The Study on Satisfactory Bias-allowable Estimator of Discrete System

The Study on Satisfactory Bias-allowable Estimator of Discre...

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2009中国控制与决策会议

作者： Teng Kenan~(1,2),Qi Guoqing~2,Sheng Andong~2 1.Scientific Researching Department,Yantai Naval Aeronautical Engineering Institute,Yantai 264001 2.Automatic School,Nanjing University of Science & Technology,Nanjing 210094

＜正＞Aiming at the target tracking problem in fire control system,the satisfactory discrete-time bias-allowable estimator is investigated in this *** fire control system,the smoothness of forecasting target future positions is an important factor that affects shooting *** lower order system model to estimate target state is a common method of smoothly forecasting the future position,which could produce system bias when the target is suddenly *** important index in constraining system error called steady error coefficient is introduced into the performance index set with error variance upper bound and area pole *** the maneuvering intensity of target is finite,an iterative algorithm in terms of linear matrix inequalities（LMIs） is proposed to solve the satisfactory bias-allowable estimation *** proposed bias-allowable estimator can ensure the accuracy and smoothness of the estimation output by using a lower order system *** an example is presented to demonstrate the obtained results.

关键词： Target Tracking Bias-allowable Estimation Linear Matrix Inqeuality Steady Error Coefficient multi indices constraint

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A Particle Swarm Optimization Based Satisfactory Bias-allowable Filtering

A Particle Swarm Optimization Based Satisfactory Bias-allowa...

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第二十九届中国控制会议

作者： QI Guoqing,LI Yinya,SHENG Andong Automatic School,Nanjing University of Science&Technology,Nanjing 210094,P.R.China

This paper investigates a low-order filter which admits the estimation output has as lower system bias as possible for maneuvering object tracking ***,the unknown maneuver of the target is decomposed into non-stochastic and stochastic ***,by assuming the intensity and duration of the unknown non-stochastic part are finite,the transfer function from the unknown maneuvering of the target to the estimation system bias is deduced by classical control ***,the relationship between dynamic bias coefficient and filter gain matrix is ***,the satisfactory bias-allowable filter is proposed by particle swarm optimization(PSO)method for the given order system,which can guarantee the dynamic bias coefficient as lower as possible under the constraints of regional pole index and error variance upper bound *** from H∞filter,the proposed filter considers the dynamic index of the estimation error,which makes it possible of using lower system model to track maneuvering object and can let the estimation output satisfy the satisfactory system error and stochastic error index ***,the effectiveness of the proposed bias-allowable filter is illustrated by a simulation example.

关键词： Bias-allowable Filter Dynamic Error Coefficient Particle Swarm Optimization multi indices constraint

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