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第三十四届中国控制会议

作者： CHEN Yang-Yang ZHANG Ya WEI Ping School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Department of Electronic Information Engineering Anhui Business College

ISBN: (纸本)9781467374439

This paper deals with the three-dimensional(3D) coordinated control of satellites formation motion along a set of given closed orbits, where each satellite has intrinsic second-order Lipchitz nonlinear dynamics and the commutation topology among satellites is directed. A projection-based orbit extension method is presented by extending our previous concentric compressing method. The control for the orbit-tracking subsystem and the formation motion subsystem are designed respectively at first, and then the overall closed-loop coordinated orbit-following system is regarded as a cascade system. By using tools from Input-toState stability(ISS) theory and the extension of Barbalat's lemma, it is shown the closed-loop coordinated orbit-tracking system is asymptotic stability if the directed communication topology contains a directed spanning tree. The effectiveness of the analytical results is verified by Satellite Tool Kit(STK).

关键词： Directed Coordinated Orbit-Tracking control,Second-Order Lipchitz Nonlinear satellites,Cascade System,Three-Dimensional Space

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Activating topic models from a cognitive perspective

Activating topic models from a cognitive perspective

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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Jie Bai Linjing Li Daniel Zeng School of Computer and Control Engineering University of Chinese Academy of Sciences China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences China Department of Management of Information Systems The University of Arizona USA

ISBN: (纸本)9781509038664

Topic modeling is a popular text mining technique for extracting latent semantics from text. It can be widely applied in intelligence analyzing, anti-terrorist, and various other security related tasks. Most existing topic models only focus exclusively on the text literally, and disregard rich contextual, cultural, and language background, hindering the understanding and discovering of the key clues implied in the text. Based on cognitive psychology theories, we justify the classical psychological activation theory named Adaptive control of Thought from the perspective of information theory. Then, we propose a fast and loosely-coupled activation presentation of text for topic models. Our method mimics the aspect of human cognitive procedure when facing the activation of new concepts based on word correlations and word frequencies. Experimental results on multiple tasks show that our activation presentation models can significantly improve the performance of the topic models with linear time consumption.

关键词： Analytical models Semantics Computational modeling Psychology Text mining Information theory Adaptation models

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Optimal Self-Learning control Scheme for Discrete-Time Nonlinear systems Using Local Value Iteration

Optimal Self-Learning Control Scheme for Discrete-Time Nonli...

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International Joint Conference on Neural Networks

作者： Qinglai Wei Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781509006212

In this paper, an optimal self-learning control scheme for discrete-time nonlinear systems is developed using a new local value iteration based adaptive dynamic programming (ADP) algorithm. The developed local value iteration algorithm permits an arbitrary positive semi-definite function to initialize the algorithm. In the developed local value iteration algorithm, the iterative value function and iterative control law are updated by a subset of the state space. A new analysis method of the convergence property is presented to show that the iterative value functions will converge to the optimum. The convergence criterion for the local value iteration algorithm is presented. A simulation example is given to demonstrate the validity of the present optimal control scheme.

关键词： state-space methods convergence discrete time systems dynamic programming iterative methods learning systems nonlinear systems optimal control

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Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Tracking control of a Class of Nonlinear systems

Generalized Policy Iteration Adaptive Dynamic Programming Al...

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第28届中国控制与决策会议

作者： Qiao Lin Qinglai Wei Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781467397155

This paper deals with optimal tracking control problems for a class of discrete-time nonlinear systems using a generalized policy iteration adaptive dynamic programming(ADP) ***,by system transformation,the optimal tracking control problem is transformed into an optimal regulation *** the generalized policy iteration ADP algorithm is employed to obtain the optimal tracking controller with convergence and optimality *** developed algorithm uses the idea of two iteration procedures to obtain the iterative tracking control laws and the iterative value *** neural networks,including model network,critic network and action network,are used to implement the developed *** last,an simulation example is given to demonstrate the effectiveness of the developed method.

关键词： adaptive dynamic programming affine nonlinear systems discrete-time generalized policy iteration neural network tracking control

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Image Matching Based on Multiscale Increment Sign Correlation and Iterative Correction

Image Matching Based on Multiscale Increment Sign Correlatio...

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第35届中国控制会议

作者： Liping Yan Sai Yang Shuo Li Yuanqing Xia Bo Xiao Yang Liu Mengyin Fu Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781509009107

By combining wavelet transform and increment sign correlation with iterative correction,we present a robust image matching method,which effectively reduced ***,by decomposing the sensed image and the reference image with wavelet,smooth images are generated in coarse *** the use of increment and decrement information of adjacent pixels,smooth images are encoded into binary images,and the matching position can be found by use of the cross correlation *** decomposition can effectively remove noise and greatly improve the real-time performance of matching algorithm while increment sign correlation method is not sensitive to the gray level of *** combination of wavelet transform and increment sign correlation can deal with noise,shadow and occlusion as well as improve the matching speed compared with traditional matching *** the condition of heavy noise and occlusion that the matching method mentioned above can not find the correct position in condition of heavy noise and occlusion,we present an iterative correction image matching method,*** the above matching result as prior knowledge and achieve the correct matching position by correcting matching results *** analysis shows the feasibility of the presented method,and our experiments show its validity.

关键词： Image Matching Wavelet Decomposition Increment Sign Correlation Iterative Correction

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Optimal sequential estimation for multirate dynamic systems with unreliable measurements and correlated noise

Optimal sequential estimation for multirate dynamic systems ...

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第35届中国控制会议

作者： Liping Yan Jun Liu Lu Jiang Yuanqing Xia Bo Xiao Yang Liu Mengyin Fu Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781509009107

In the field of target tracking and navigation,multi-sensor data fusion has been widely *** of the data fusion algorithms are built on the premise that the sensor observation information is ***,in practical problems,due to the limitation of communication and sensor fault,etc.,data missing or unreliable measurements will happen *** addition,at present a lot of research is aimed at the situation where measurement noise between various sensors is not relevant,and process noise and measurement noise is *** correlation is more *** this paper,a multi-rate multi-sensor data fusion state estimation algorithm with unreliable observations under correlated noises is presented.A numerical example is given to show the feasibility and effectiveness of the presented algorithm.

关键词： state estimation sequential fusion correlated noise unreliable measurements

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Data-Based Self-Learning Optimal control for Continuous-Time Unknown Nonlinear systems With Disturbance

Data-Based Self-Learning Optimal Control for Continuous-Time...

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第28届中国控制与决策会议

作者： Qinglai Wei Derong Liu Ruizhuo Song Pengfei Yan The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781467397155

In this paper,a new data-based self-learning control scheme is developed to solve infinite horizon optimal control problems for continuous-time nonlinear *** developed optimal control scheme can be implement without knowing the mathematical model of the *** to the input-output data of the nonlinear systems,a recurrent neural network(RNN) is employed to reconstruct the dynamics of the nonlinear *** to the RNN model of the system,a new two-person zero-sum adaptive dynamic programming(ADP) algorithm is developed to obtain the optimal control,where the reconstruction error and the system disturbance are considered the control input of the ***-layer neural networks are used to construct the critic and action networks,which are presented to approximate the performance index function and the control law,***,simulation results will show the effectiveness of the developed data-based ADP methods.

关键词： Adaptive critic designs Adaptive dynamic programming Approximate dynamic programming Neurodynamic programming Recurrent neural network Data-based control Optimal control

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Robust Scene Matching Method Based on Sparse Representation

Robust Scene Matching Method Based on Sparse Representation

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第35届中国控制会议

作者： Sai Yang Bo Xiao Liping Yan Yuanqing Xia Yang Liu Mengyin Fu Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

ISBN: (纸本)9781509009107

This article presents two efficient scene matching methods based on sparse representation,which are robust to noise and *** process of searching for the correct matching position in the reference image can be considered as finding a certain atom in a dictionary to represent the vectorized sensed *** atoms that form the dictionary are vectorized blocks which represent all the possible matching *** also use two steps matching to speed up the running time,and further improve the performance to some *** demonstrate that our scene matching methods perform better than traditional methods due to the inherent robustness to corruption of sparse representation.

关键词： scene matching sparse representation visual navigation

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An Adaptive Dynamic Programming Based Method for Optimization of Electricity Consumption in Office Buildings

An Adaptive Dynamic Programming Based Method for Optimizatio...

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International Joint Conference on Neural Networks

作者： Guang Shi Qinglai Wei Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781509006212

In this paper, an adaptive dynamic programming (ADP) based method is developed to optimize electricity consumption of rooms in office buildings through optimal battery management. Rooms in office buildings are generally divided into office room, computer room, storage room, meeting room, etc., each of which has different characteristics of electricity consumption, as divided into electricity consumption from sockets, lights and air-conditioners in this paper. The developed method based on ADP is elaborated, and different optimization strategies of electricity consumption in different categories of rooms are proposed in accordance with the developed method. Finally, a detailed case study on an office building is given to show the practical effect of the developed method.

关键词： electricity consumption office buildings Rooms office Air conditioners built structure Buildings Automatic data processing Adenosine Diphosphate dynamic programming

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Off-policy integral reinforcement learning optimal tracking control for continuous-time chaotic systems

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Chinese Physics B 2015年第9期24卷 147-152页

作者：魏庆来宋睿卓孙秋野肖文栋 The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Automation and Electrical Engineering University of Science and TechnologyBeijing School of Information Science and Engineering Northeastern University

This paper estimates an off-policy integral reinforcement learning（IRL） algorithm to obtain the optimal tracking control of unknown chaotic systems. Off-policy IRL can learn the solution of the HJB equation from the system data generated by an arbitrary control. Moreover, off-policy IRL can be regarded as a direct learning method, which avoids the identification of system dynamics. In this paper, the performance index function is first given based on the system tracking error and control error. For solving the Hamilton–Jacobi–Bellman（HJB） equation, an off-policy IRL algorithm is *** is proven that the iterative control makes the tracking error system asymptotically stable, and the iterative performance index function is convergent. Simulation study demonstrates the effectiveness of the developed tracking control method.

关键词： adaptive dynamic programming approximate dynamic programming chaotic system optimal tracking control

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