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第二十七届中国控制会议

作者： Yu Yao 1,Zhong YiSheng 2 1.Department of Automation,Tsinghua University,Beijing 100084,P.R.China 2.Department of Automation,Tsinghua University,Beijing 100084,P.R.China

A 3DOF helicopter plant is described as a MIMO uncertain nonlinear system with multi-operation points,and a robust control method based on signal compensation is proposed.A controller designed by this method consists of a nominal controller and a robust *** tracking property of closed-loop system is proven and simulation results show that the designed control system can guarantee high precision robust attitude control at multi-operation points.

关键词： 3DOF Helicopter MIMO Multi-operation Points robust tracking

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robust Fuzzy tracking Control for Nonlinear Networked Control Systems with Integral Quadratic Constraints

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International Journal of Automation and computing 2010年第4期7卷 492-499页

作者： Zhi-Sheng Chen Yong He Min Wu School of Information Science and Engineering Central South University Changsha 410083 PRC School of Energy and Powcr Engineering Changsha University of Science and Technology Changsha 410114 PRC

This paper investigates the robust tracking control problcm for a class of nonlinear networked control systems （NCSs） using the Takagi-Sugeno （T-S） fuzzy model approach. Based on a time-varying delay system transformed from the NCSs, an augmented Lyapunov function containing more useful information is constructed. A less conservative sufficient condition is established such that the closed-loop systems stability and time-domain integral quadratic constraints （IQCs） are satisfied while both time-varying network- induced delays and packet losses are taken into account. The fuzzy tracking controllers design scheme is derived in terms of linear matrix inequalities （LMIs） and parallel distributed compensation （PDC）. Furthermore, robust stabilization criterion for nonlinear NCSs is given as an extension of the tracking control result. Finally, numerical simulations are provided to illustrate the effectiveness and merits of the proposed method.

关键词： Nonlinear networked control system fuzzy model robust tracking integral quadratic constraint linear matrix inequality.

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维普期刊数据库

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Suppression of high order disturbances and tracking for nonchaotic systems:a time-delayed state feedback approach

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Control Theory and Technology 2022年第1期20卷 54-68页

作者： Zahed Dastan Mahsan Tavakoli-Kakhki Faculty of Electrical Engineering K.N.Toosi University of TechnologyTehranIran

Time-delayed state feedback is an easy realizable control method that generates control force by differencing the current and the delayed versions of the system *** this paper,a new form of the time-delayed state feedback structure is *** on the proposed time-delayed state feedback method,a new robust tracking system is *** tracking system improves the conventional state feedback with integral action disturbance rejection characteristics in the presence of the disturbance signals imposed on the system dynamics or on the sensors that measure the system ***,the proposed tracking system tracks the ramp-shaped reference input signal,which is not achievable through conventional state ***,since the proposed method adds delays to the closed-loop system dynamics,the ordinary differential equation of the system changes to a delay differential equation with an infinite number of characteristic ***,conventional pole placement techniques cannot be used to design the time-delayed state feedback controller *** this paper,the simulated annealing algorithm is used to determine the proposed control system parameters and move the unstable roots of the delay differential equation to the left ***,the efficiency of the proposed reference input tracker is demonstrated by presenting two numerical examples.

关键词： Time-delayed state feedback Integral control Disturbance rejection robust tracking

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Improved Particle Filter for Object tracking

Improved Particle Filter for Object Tracking

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2011 Chinese Control and Decision Conference（CCDC）

作者： Tao Zhang is with College of Automation Electronic Engineering,Qingdao University of Sciences and Technology,Qingdao.Shumin Fei is with the Key Laboratory of Measurement and Control of Complex Systems of Engineering,Ministry of Education,Institute of Automation,Southeast University,Nanjing.

robust real-time tracking of non-rigid objects is a challenging *** is a powerful feature for tracking deformable objects in image sequences with complex *** distribution is applied,as it is robust to partial occlusion,is rotation and scale invariant and computationally *** filter has been proven very successful for non-linear and non-Gaussian estimation tracking *** article presents the integration of color distributions into particle filtering.A target is tracked with a particle filter by comparing its histogram with the histograms of the sample positions using the Bhattacharyya ***,to solve the sample impoverishment （all particles collapse to a single point within a few iterations） in the particle-filter algorithm,a new resampling algorithm is proposed to tackle sample *** performance of the proposed filter is evaluated qualitatively on various real-world video *** experimental results show that the improved color-based particle filter algorithm can reduce sample impoverishment effectively and track the moving object very well.

关键词： Particle filter Object tracking robust tracking

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