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American control Conference

作者： Deyuan Meng Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper deals with the design problem of robust iterative learning control (ILC), in the presence of noise that is varying randomly from iteration to iteration. Two ILC schemes are considered: one adopts the previous iteration tracking error (PITE) and the other adopts the current iteration tracking error (CITE), in the updating law. For both schemes, the convergence results are obtained by using a frequency-domain approach, and a comparison between them is presented from the viewpoints of the convergence condition, robustness against plant uncertainty, and delay compensation. It shows that sufficient conditions can be derived to bound the tracking error and make its expectation monotonically convergent in the sense of L_(2)-norm, which work effectively with robustness for all admissible plant uncertainties. Furthermore, the sufficient conditions for both schemes can also be formulated in terms of two complementary functions, which do not depend on the delay time as well as the plant uncertainty and, thus, make them convenient to be checked and solved using the frequency-domain tools. Numerical simulations are included to illustrate the effectiveness of the two proposed ILC schemes.

关键词： Iterative learning control monotonic convergence previous iteration tracking error current iteration tracking error random iteration-varying noise delay compensation delay compensation monotone convergence iterative methods Iterative learning control follow error Scheme design problems Delay time Sufficient conditions learning control

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Model Matching control for MIMO systems with Multiple Time Delays and Its Applications in Adaptive Scheme

Model Matching Control for MIMO Systems with Multiple Time D...

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American control Conference

作者： Haixia Su Yingmin Jia Junping Du Fashan Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper considers the model matching problem of multiple-input multiple-output (MIMO) systems with multiple time delays. The reference model is chosen to be the diagonal delay transfer function matrix. A controller is designed for nominal systems. Furthermore, an adaptive control scheme is proposed for uncertain systems with parameter variation. The resulting scheme can guarantee the global stability of the closed-loop systems and the convergence of the tracking errors. A simulation example is included to illustrate the proposed scheme.

关键词： control system synthesis MIMO Delay effects Programmable control Adaptive control Transfer functions control systems Uncertain systems Stability Convergence

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A New Resampling Algorithm for Generic Particle Filters

A New Resampling Algorithm for Generic Particle Filters

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American control Conference

作者： X. Fu Y. Jia J. Du F. Yu Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781424474264

This paper is devoted to the resampling problem of particle filters. We firstly demonstrate the performance of classical Resampling algorithm (also called as systematic resampling algorithm) using a novel metaphor, through which the existing defects of Resampling algorithm is vividly reflected simultaneously. In order to avoid these defects, the exquisite resampling (ER) algorithm is induced which involves some exquisite actions such as comparing the weights by stages and generating the new particles based on quasi-Monte Carlo method. Simulations indicate that the proposed ER algorithm can reduce the sample impoverishment effectively and improve the accuracy of estimation evidently, which confirm that ER algorithm is a competitive alternative to Resampling algorithm.

关键词： resampling algorithm Particle filters

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Kalman filtering with multiple nonlinear-linear mixing state constraints

Kalman filtering with multiple nonlinear-linear mixing state...

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IEEE Conference on decision and control

作者： X. Fu Y. Jia J. Du F. Yu Seventh Research Division and the Department of Systems and Control Beihang University Beijing China Beihang University Beijing CN Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo Henan China

This paper is devoted to the problem of state estimation for a class of dynamic system with multiple nonlinear-linear (NL) mixing state constraints. A computational algorithm was developed by C. Yang and E. Blasch to incorporate a positive definite quadratic form equality constraint into the Kalman filtering for the ground vehicle tracking. However, when the target tracked in multidimensional space, a single positive definite quadratic form constraint is not enough due to the involvement of other surface such as hyperboloid, paraboloid, or even plane. A analytic method of incorporating multiple nonlinear-linear mixing state constraints into the Kalman filter is presented here, and a sufficient condition is obtained that guarantee the existence of solution. The constraints may be time varying. At each time step the unconstrained Kalman filter solution is projected onto the state constraints surface. This significantly improves the prediction accuracy of the filter. The use of this algorithm is demonstrated on a nonlinear-linear mixing spacecraft positioning problem.

关键词： Kalman filters Symmetric matrices State estimation Optimization Covariance matrix Noise

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Sliding angle reconstruction and robust lateral control of autonomous vehicles in presence of lateral disturbance

Sliding angle reconstruction and robust lateral control of a...

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2009 IEEE/RSJ International Conference on intelligent Robots and systems, IROS 2009

作者： Hao, Fang Lihua, Dou Jie, Chen Education Ministry Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology 100081 Beijing China

ISBN: (纸本)9781424438044

In this paper the problem of path following control of autonomous vehicles subject to sliding is addressed. First a kinematic model is built which takes sliding effects into account by introducing two additional tire sliding angles. Since the tire sliding angles cannot be directly measured by sensors, an adaptive robust Luenberger observer is designed. With this observer, the tire cornering stiffness instead of the sliding angles is identified in presence of time-varying lateral disturbance. The Lyapunov stability theory guarantees that the estimated cornering stiffness would converge to a neighborhood of the real value when control inputs excitated the system persistently. But due to the existence of the lateral disturbance which causes loss of accuracy of the sliding angle reconstruction, the previously designed anti-sliding controller whose effectiveness completely depends on the estimation of the sliding angles cannot yield satisfactory results. To overcome this problem a tire-oriented kinematic model is built in which the inaccuracy of the sliding angle reconstruction is modeled in form of additive disturbances to the kinematic model. By transforming the tire-oriented kinematic model into a perturbed chained system, a sliding mode controller, which is robust to both the sliding effects and the negative effects of the lateral disturbance is designed with the help of the natural algebraic structure of the chained systems. Simulation results show that the proposed methods can provide accurate estimation of the sliding angles and guarantee high anti-sliding control accuracy even in presence of time-varying lateral disturbance. © 2009 IEEE.

关键词： Tires

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Statistical learning makes the hybridization of particle swarm and differential evolution more efficient-A novel hybrid optimizer

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Science in China(Series F) 2009年第7期52卷 1278-1282页

作者： CHEN Jie1,2,XIN Bin1,2,PENG ZhiHong1,2 & PAN Feng1,2 1 school of Automatic control,Beijing Institute of Technology,Beijing 100081,China 2 key laboratory of complex System intelligent control and decision,Ministry of Education,Beijing 100081,China 1. School of Automatic Control Beijing Institute of Technology Beijing 100081 China 2. Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China

This brief paper reports a hybrid algorithm we developed recently to solve the global optimization problems of multimodal functions, by combining the advantages of two powerful population-based metaheuristics differential evolution （DE） and particle swarm optimization （PSO）. In the hybrid denoted by DEPSO, each individual in one generation chooses its evolution method, DE or PSO, in a statistical learning way. The choice depends on the relative success ratio of the two methods in a previous learning period. The proposed DEPSO is compared with its PSO and DE parents, two advanced DE variants one of which is suggested by the originators of DE, two advanced PSO variants one of which is acknowledged as a recent standard by PSO community, and also a previous DEPSO. Benchmark tests demonstrate that the DEPSO is more competent for the global optimization of multimodal functions due to its high optimization quality.

关键词： global optimization statistical learning differential evolution particle swarm optimization hybridization multimodal functions

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Flow-rate Characteristics Measurement of Regulators Based on the Pressure Response in an Isothermal Tank

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Chinese Journal of Mechanical Engineering 2009年第5期22卷 633-638页

作者： FAN Wei ZHANG Hongli WANG Tao PENG Guangzheng ONEYAMA Naotake Education Ministry Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing 100081 China School of Automation Beijing Institute of Technology Beijing 100081 China Electrical Engineering College Xinjiang University Urumchi 830046 China SMC Tsukuba Technical Center Ibaraki-ken 300-2493 Japan

Regulators are important components in pneumatic system, and their flow-rate characteristics are the key parameters for designers. According to the correlatively international standard and national standard of China, which describe the flow-rate characteristics measurement method of pneumatic regulators, the pressure and the flow are measured point by point, and then the flow-rate characteristics curve is plotted point to point. This method has some disadvantages, such as equipment complexity, much air consumption, and low efficiency. To settle the problems presented above, this paper puts forward a new high efficient and energy saving flow-rate characteristics measurement method of regulators, which is based on the pressure response when charging and discharging to an isothermal tank without any flow meters. The measurement principle, the system and the steps are introduced. And the tracking differentiator is used for the data processing of the pressure difference. Two typical kinds of regulators were experimentally investigated, and their flow-rate characteristics curves were obtained with the new and the conventional method, respectively. Comparatively, it＇s proved that this new method is feasible because it is not only able to meet the demand of the measurement precision, but also to save energy and improve efficiency. Compared to the conventional method, the new method takes only about 1/10 amount of time and consumes about only 1/30 amount of air. Hopefully it will be able to serve as an international standard of flow-rate characteristics measurement method of regulators.

关键词： regulator flow-rate characteristics isothermal tank charging and discharging once pressure response tracking differentiator energy saving and high efficiency

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Nonuniformity Correction and Calibration Method in the High-precision CCD Measurement and Servo control System

Nonuniformity Correction and Calibration Method in the High-...

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Joint 48th IEEE Conference on decision and control and 28th Chinese control Conference

作者： Jing LI Junzheng WANG Bin ZHOU Wei SHEN Key Laboratory of Complex System Intelligent Control and Decision School of AutomationBeijing Institute of Technology

The CCD pixels nonuniformity may give a greater margin of error to measurement results in the high-precision CCD measurement and servo control *** paper analyzes the image pixels nonuniformity caused by noises,and establishes the corresponding image *** threshold value segmentation algorithm is used for image *** algorithm using two point linear method for pixel nonuniformity correction,getting center coordinates of facula by calculating the zeroth order moment and first moment of image is put forward,and a new image calibrated method that transforms the image coordinates into the real is *** results show that the algorithm can separate light intensity parts from the image,correct pixel nonuniformity,and stabilize pixel gray value of light intensity *** will make the center coordinates of image light intensity spots stable and decrease the error of the real coordinates after conversion,if the images are acquired under the same *** measurement precision as well as the control precision is improved greatly.

关键词： image Nonuniformity Correction and Calibration Method in the High-precision CCD Measurement and Servo control System CCD

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Distributed H∞ control of Spatially Interconnected systems with Random Communication Packet Losses

Distributed H∞ Control of Spatially Interconnected Systems ...

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Joint 48th IEEE Conference on decision and control and 28th Chinese control Conference

作者： Hui Li Qinghe Wu Di Yu Key Laboratory of Complex System Intelligent Control and Decision School of AutomationBeijing Institute of Technology IEEE

This paper deals with the H control of spatially interconnected systems where homogeneous subsystems communicate with their neighbors over packet dropping *** the robust stability analysis and controller synthesis problems are thoroughly *** first, temporal forward and spatial shift operators are used to model the interconnected systems with random communication packet losses as discrete time-space linear multidimensional systems with Markovian jumping *** conditions are obtained which make the whole interconnected systems mean-square stable and achieve the prescribed H disturbance attenuation *** method for designing distributed state feedback controllers are presented, which could robustly mean-square stabilize the interconnected *** results take the form of computationally tractable linear matrix ***, a simulation example of multiple vehicle platoon control with the effect of communication packet losses is exploited to demonstrate the effectiveness of the proposed model and method.

关键词： Lyapunov Distributed H control of Spatially Interconnected systems with Random Communication Packet Losses

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Friction compensation using dual observer for 3-axis turntable servo system

Friction compensation using dual observer for 3-axis turntab...

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IEEE International Conference on automation and Logistics

作者： Zhigang Liu Junzheng Wang Jiangbo Zhao Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of Technology Beijing China

Friction and load disturbance are important factors in high resolution control for 3-axis turntable servo system. LuGre dynamic friction model is adopted to describe the mathematic model of the pitch axis servo system with friction. Due to the dynamic LuGre model is built on three unknown parameters. Besides, system torque and inertia are also uncertain due to the motor torque ripple or disturbance. A dual sliding mode observer is adopted to estimate these parameters, and Lyapunov function is used to design the update laws. Based on these estimated parameters, adaptive control law is designed to compensate the unknown friction and load disturbance. Simulation suggest that the proposed method is global asymptotically convergent, which guarantee the position and speed signals track the desired trajectories asymptotically.

关键词： Friction Servomechanisms Mathematical model Torque Parameter estimation control systems Mathematics Servomotors Lyapunov method Adaptive control

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