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2011 American control Conference (ACC)

作者： Xiongjun Wu Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai Jiaotong University Shanghai China Department of Electrical and Computer Engineering University of Virginia Charlottesville VA USA

In a traditional anti-windup design, the anti-windup mechanism is set to be activated as soon as the control signal saturates the actuator. A recent innovation of delaying the activation of the anti-windup mechanism, both static and dynamic, until the saturation reaches to a certain level of severity has led to a performance improvement of the resulting closed-loop system. More recently, it has been shown that significant further performance improvements can be obtained by activating a static anti-windup mechanism in anticipation of actuator saturation, in comparison with the delayed activation design. This paper demonstrates that anticipatory activation of a dynamic anti-windup mechanism would also lead to significant performance improvements over both the immediate and delayed activation schemes.

关键词： Actuators Windup Linear matrix inequalities Simulation automation Symmetric matrices

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Robust partially mode delay-dependent ℋ∞ output feedback control of discrete-time networked control systems

Robust partially mode delay-dependent ℋ∞ output feedback c...

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American control Conference (ACC)

作者： Seunghwan Chae Dan Huang Sing Kiong Nguang The Department of Electrical and Computer Engineering University of Auckland Auckland New Zealand Department of Automation and Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai China

This paper examines robust partially mode de lay dependent H ∞ output feedback controller design for discrete-time systems with random communication delays. A finite state Markov chain with partially known transition probabilities is used to model random communication delays between sensors and controller. Based on Lyapunov-Krasovskii functional, a novel methodology for designing a partially mode delay-dependent output feedback controller is proposed. Using cone complementarity linearization algorithm bilinear matrix inequalities (BMIs) are solved to obtain the controller gains. We also show that the results for completely known transition probabilities and completely unknown transition probabilities can be derived as special cases of our result. The effectiveness of the proposed design methodology is demonstrated by a numer ical example. To the best of authors' knowledge, the problem of designing an output feedback controller for a partially known transition probability has not been fully investigated.

关键词： Delay Markov processes Output feedback Linear matrix inequalities Robustness Silicon

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Robust ℋ∞ output feedback control of discrete-time networked systems with adaptive quantizers

Robust ℋ∞ output feedback control of discrete-time network...

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IEEE Conference on Decision and control

作者： Faiz Rasool Dan Huang Sing Kiong Nguang Department of Electrical and Computer Engineering University of Auckland Auckland New Zealand Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai China

Quantization effects are inevitable in networked control systems (NCSs). These quantization effects can be reduced by increasing the number of quantization levels. However, increasing the number of quantization levels may lead to network congestion, (i.e., the network needs to transfer more information than its capacity). In this paper, we investigate the problem of designing a robust ℋ ∞ output feedback controller for discrete-time networked systems with an adaptive quantization density or limited information. More precisely, the quantization density is designed to be a function of the network load condition which is modeled by a Markov process. A stability criterion is developed by using Lyapunov-Krasovskii functional and sufficient conditions for the existence of a dynamic quantized output feedback controller are given in terms of Bilinear Matrix Inequalities(BMIs). An iterative algorithm is suggested to obtain quasi-convex Linear Matrix Inequalities (LMIs) from BMIs. An example is presented to illustrate the effectiveness of the proposed design.

关键词： Quantization Delay Linear matrix inequalities Markov processes Closed loop systems Stability analysis Output feedback

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Novel emotion dynamic express for robot

Novel emotion dynamic express for robot

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International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Dong-Hwa Kim Péter Baranyi Department of Instrumentation and Control Engineering Hanbat National University Daejeon South Korea Head of Cognitive Informatics research group involved in the System and Control Laboratory Computer and Automation Research Institute (MTA-SZTAKI) Hungarian Academy of Sciences Hungary

This paper proposes the novel emotion dynamic equation for emotion implementation like human's emotion. Almost general method use artificial approach such as neutral networks to classify emotion by using speech and face image data for human's emotion recognition. But high-dimension and large size of this data cause low-speed learning in robot system. The main idea of the proposed dynamic equation method is to dynamically express emotion by multi-agent function.

关键词： Robot sensing systems Humans Dynamics Face Equations

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Direct synthesis decoupling control for TITO processes with time delays

Direct synthesis decoupling control for TITO processes with ...

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International Symposium on Advanced control of Industrial Processes (ADCONIP)

作者： Yuling Shen Shaoyuan Li Wen-Jian Cai Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiaotong University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

In this paper, a direct synthesis approach is proposed to design ETF based multivariable decoupling controllers. This new scheme is different from two existing ETF based decoupling schemes which involves the following steps: (1) by uniquely determine the ETFs for every transfer function element, the inverse matrix of transfer function matrix is approximated; (2) selecting the desired closed-loop system transfer function such that the resulted controllers are stable, causal and proper; (3) deriving the achievable full-matrix decoupling controller by specifying the tuning parameters. The effectiveness of the proposed design approach is verified by two multivariable industrial processes, which shows that it results in better overall system performance than other two ETF based schemes.

关键词： Transfer functions Process control Steady-state control systems Argon Delay effects Matrices

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A Novel Fusion Strategy for E-MAP Missing Value Imputation

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IFAC Proceedings Volumes 2011年第1期44卷 6178-6183页

作者： Xiao-Yong Pan Ye Tian Li-Xiu Yao Hong-Bin Shen Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 School of Aerospace and Astronautic Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai 200240 China

Abstract Epistatic miniarray profiling (E-MAP) is powerful for measuring gene biological relevance. However, E-MAP suffers from large number of missing values, and in order to use the E-MAP information more efficiently, the missing values have to be estimated. In this paper, considering advantages and disadvantages of different independent algorithms, we proposed a novel fusion approach based on the high-level diversity to estimate missing values that consists of two global and four local base estimators. Experiment results show our fusion scheme is more effective and robust for the missing value imputations and outperforms all single base algorithms on E-MAP data.

关键词： Missing value estimation E-MAP Ensemble estimator

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The Kalman Filtering for a class of Local Strongly Coupled systems

The Kalman Filtering for a class of Local Strongly Coupled S...

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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Yunze Cai Hua O. Wang Xiaoming Xu Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Inform Department of Mechanical Engineering Boston University Boston MA 02215 USA Department of Automation Shanghai Jiao Tong University 800 Dongchuan Rd. Shanghai 200240 P.R.Chi

This paper addresses a Kalman filtering problem for a class of local strongly coupled systems which are derived from complex systems with inter communication or constraint between nodes. To start with, a multi-agent system is introduced and the communication matrix is characterized by employing random series with Bernoulli distributions. Using augmentation techniques and stochastic methods, the Kalman filtering algorithm is deducted. The experimental results not only demonstrate the effectiveness of the proposed filtering method, but also show the inter-agent communication could improve the tracing effect in the multi-agent collaborative systems.

关键词： Local strongly coupled systems Kalman filter Communication

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Sample size analysis of GPS probe vehicles for urban traffic state estimation

Sample size analysis of GPS probe vehicles for urban traffic...

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International Conference on Intelligent Transportation

作者： Qiankun Zhao Qing-Jie Kong Yingjie Xia Yuncai Liu Department of Automation and Key Laboratory of China MOE for System Control and Information Processing Shanghai Jiao Tong University Shanghai China Hangzhou Institute of Service Engineering Hangzhou Normal University Hangzhou China

Nowadays, probe vehicles equipped with Global Position system (GPS) are an effective way of collecting real-time traffic information. This paper first briefly introduces the Curve-Fitting Estimation Model (CFEM), which is one of the typical methods using GPS data to estimate the traffic flow state. After that, it is detailedly analyzed how many probe vehicles the CFEM requires in order to ensure enough estimated accuracy. Furthermore, a sample size algorithm is developed to calculate the minimum sample size of the CFEM. In the algorithm, the road type, the length of road section, and sample frequency are taken into account. Finally, the proposed algorithm of sample size analysis are tested by the experiments using the data collected from the road network of the whole center region of Shanghai.

关键词： Vehicles Probes Global Positioning system Roads State estimation Computational modeling

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Subspace identification using the saturation measurement in data-driven control systems

Subspace identification using the saturation measurement in ...

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Asian control Conference

作者： Yongling Wu Shaoyuan Li Hua Yang Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiaotong University Shanghai China College of Information Science and Engineering Ocean University of China Qingdao Shandong China

ISBN: (纸本)9781612844879

Saturation characteristic exists widely in the real system, and a large number of articles have taken constraint conditions into account during the controller design process. However, relative to the research on the input (actuator) saturation, study on the output (sensor) saturation has not been taken seriously and research results are very little, especially in the aspect of effect on the identification due to the saturation output. In this paper, under the data-driven control system based on online subspace identification and model predictive control (MPC) method, the relationship among the output saturation step, prediction horizon and subspace matrix is obtained, while the change of the system information is unknown because the output signals are locked. Finally, a simulation example is given to demonstrate the correction of the conclusion.

关键词： Predictive models Matrix decomposition Mathematical model Predictive control Actuators

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Robust filtering for networked systems with random transmission delays and packet dropouts

Robust filtering for networked systems with random transmiss...

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作者： Cai, Yunze Wang, Hua O. Tanaka, Kazuo Xu, Xiaoming Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing 800 Dongchuan Rd. Shanghai 200240 China Department of Mechanical Engineering Boston University Boston MA 02215 United States Department of Mechanical Systems and Intelligent Systems University of Electro-Communications Tokyo 182-8585 Japan Department of Automation Shanghai Jiao Tong University 800 Dongchuan Rd. Shanghai 200240 China University of Shanghai for Science and Technology 16 Jun Gong Rd. Shanghai 200093 China

ISBN: (纸本)9781457700804

This paper addresses a robust H∞ filtering problem for networked systems that are subject to both random transmission delays and packet dropouts. To start with, a data transmission model is established by employing random series with Bernoulli distributions. A sufficient condition for robust stability with H∞ constraints is derived for the filtering error system. The robust filter is designed in terms of the feasibility of a linear matrix inequality (LMI). The numerical examples are provided to show the effectiveness of the data transmission model and the proposed filtering method. © 2011 AACC American Automatic control Council.

关键词： Linear matrix inequalities

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