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Simultaneous estimation of system states and identification of time-varying parameters for discrete-time systems via iterative learning estimation

Simultaneous estimation of system states and identification ...

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第三十八届中国控制会议

作者： Ruitian Yang Li Peng Yongqing Yang Fengzeng Zhu Engineering Research Center of Internet of Things Applied Technology (School of IoT Engineering Jiangnan University) Ministry of Education Jiangsu Province Internet of Things Application Technology Key Construction Laboratory Wuxi Taihu College School of Science Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Science Jiangnan University

In this paper, the state estimation problem and identifying time-varying parameters are investigated for discrete-time systems with time delays. The time delays comprise both state delay and measurement delay. A novel iterative learning estimator which is utilized to eliminate the effects of state delay and measurement delay is presented for the general systems. The main idea on the design of the iterative learning estimator is to combine the previous information into the proposed estimator for identifying time-varying parameters in real time by the use of learning. The sufficient conditions for the solvability of the addressed problem are obtained in terms of certain linear matrix inequalities(LMIs). An explicit expression of the desired iterative learning estimator is also given. Finally, a numerical example is provided to demonstrate the effectiveness and applicability of the proposed design approach.

关键词： State estimation Parameters identification Discrete-time systems Iterative learning estimator

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Semi-Global Containment control of Linear Agents with Actuator Position and Rate Saturation:The State Feedback Case

Semi-Global Containment Control of Linear Agents with Actuat...

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第37届中国控制会议

作者： Zhiyun Zhao Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes （East China University of Science and Technology） Ministry of Education

This paper studies semi-global containment control problem for a multi-agent system. Each follower agent in the system is described by a general linear system in the presence of both actuator position and rate saturation. A linear state feedback containment control law is constructed for each follower agent by using low gain approach such that the states of all follower agents will converge to the convex hull formed by the leader agents asymptotically when the communication topology among follower agents is a connected undirect graph and each leader agent is a neighbor of at least one follower agent. Simulation results illustrate the theoretical results.

关键词： Containment control multi-agent systems actuator saturation rate saturation

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Weighted Semi-supervised Orthogonal Factor Analysis Model for Quality-Related process Monitoring

Weighted Semi-supervised Orthogonal Factor Analysis Model fo...

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第37届中国控制会议

作者： Xiaohui Cui Jian Yang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Probabilistic model has already been widely used for process monitoring. However, the obtained factors may contain quality-unrelated information, which is harmful to the quality-related process monitoring. Meanwhile, considering the situation of unequal sample rates of process and quality variables, a semi-supervised orthogonal factor analysis(Semi-SOFA) model is presented, further, to improve robustness, Semi-SOFA is extended to weighted form(WSemi-SOFA). This paper performs orthogonal decomposition on the obtained factors, which divides them into two parts: quality-related one and quality-unrelated one. Based on it, the corresponding T statistics are designed to offer quality-related process monitoring, respectively. Besides, SPE statistics are constructed as supplement to monitor residuals. For effectiveness demonstration of the proposed method, TE benchmark is utilized.

关键词： orthogonal decomposition of factor weighted semi-supervised quality-related process monitoring

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Pulp concentration control based on dynamic matrix control

Pulp concentration control based on dynamic matrix control

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Chinese Intelligent Systems Conference, CISC 2017

作者： Hao, Wen Dong, Jie Peng, Kaixiang Jia, Mengqi Wang, Qiang Key Laboratory for Advanced Control of Iron and Steel Process of Ministry of Education Beijing100083 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China

ISBN: (纸本)9789811064982

In the papermaking industry, the stability of the pulp concentration determines the quality of the paper. However, the change of the pulp concentration is in a state of fluctuation for a long time and the pulp concentration control system has the characteristics of large lag, non-linearity and time-varying. It is difficult to achieve the desired control effect by using the traditional PID controller in the concentration control process. Therefore, use of dynamic matrix control algorithm to design the controller can solve the problem of disturbance and modeling complexity. In this paper, dynamic matrix control algorithm and PID control simulation results show that the dynamic matrix control algorithm has better control quality. The output satisfies the constraint limit with higher probability, and the output constraints and performance index can be met. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Three term control systems

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Semi-Global Containment control of Linear Agents with Actuator Position and Rate Saturation: The State Feedback Case

Semi-Global Containment Control of Linear Agents with Actuat...

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Chinese control Conference (CCC)

作者： Zhiyun Zhao Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai P. R. China

关键词： Actuators Multi-agent systems State feedback Linear systems Topology Output feedback Decentralized control

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Stochastic stability of evolutionary prisoner's dilemma

Stochastic stability of evolutionary prisoner's dilemma

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Liang, Haili Zhou, Zhao Zhang, Fan Peng, Chen Wang, Yu-Long Shanghai Key Laboratory of Power Station Automation Technology School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Mathematics Southeast University Nanjing China

ISBN: (纸本)9781538666173

In this paper, we study two-player evolutionary prisoner's dilemma on regular graphs and identify the stochastically stable equilibria for infinite populations. We consider four different update rules: Birth-death(BD), death-birth(DB), imitation(IM) and pairwise comparison(PC). With the same values of cost and benefit of cooperation, we show that there is a unique stochastically stable equilibrium for evolutionary prisoner's dilemma on regular graphs. If the benefit-to-cost ratio is larger than k + 2 (k is the degree of a regular graph), the networked game has a higher fraction of cooperators than that for a well-mixed population. Under certain conditions, the lower graph connectivity can lead to the emergence of more cooperators. Besides theoretical analysis, we demonstrate our results through numerical computations and simulations as well. © 2018 IEEE.

关键词： Stochastic systems

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Pulse-Modulated Intermittent control for Scaled Consensus of Second-Order Multi-Agent Systems

Pulse-Modulated Intermittent Control for Scaled Consensus of...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Hualiang Guo Wangli He The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

The scaled consensus problem for second-order multi-agent systems is studied in this paper. A novel scaled consensus algorithm combining impulsive control and sampled control is proposed to make the agents' states achieve a common quantity but of their own scales. In the proposed algorithm, a special function, named intermittent function, is introduced to represent the control duration and the rest duration. Specifically, by selecting special functions as the proposed intermittent functions, the scaled consensus algorithm can drop into impulsive control or sampled control. Several necessary and sufficient conditions are derived to ensure scaled consensus of the controlled second-order multi-agent systems under directed graph. An example is provided to validate the theoretical analysis.

关键词： Multi-agent systems Convergence Graph theory control systems Satellites Continuous time systems Nickel

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SPAHN novel approach for PL-AG gateway discovery for internet connectivity

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Peer-to-Peer Networking and Applications 2020年第4期14卷 2275-2284页

作者： Kannan, K. Sivaranjani, P. Sathish Kumar, S. Nalini, M. Balaji, V. R. Sanjeevi, P. Department of ECE R.M.K. College of Engineering and Technology Chennai India Department of Electronics and communication Engineering Kongu Engineering College Erode India Dept of Electrical and Electronics Engineering M. Kumarasamy College of Engineering Thalavapalayam India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Department of ECE Sri Krishna College of Engineering and Technology Coimbatore India Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China

Internet Gateway(IGW) main role is detecting availability nodes and providing internet to Mobile Ad Hoc Network(MANET) have whenever connected to internet. Discovery time of gateway is changed based on the throughput and packet delay. Many of the situations the mobile nodes are have fixed host connection to the internet using minimum hop path, it is not good for waiting packets because of that packets are have longer path interface queue. This research paper object is avoided above the problem mentioning using a novel approach of SPAHN (Solving Problem of Ad-Hoc Network). This paper mainly focus is classify the routing protocols of load-aware in MANET and from this classify discover the proactive load-aware gateway (PL-AG) from a device into interface queue size and min-hop-metric. This novel approach has been allowing and gives better handoff between two internet gateways for fixed host seamless connectivity. We justify the performance of the SPAHN approach using two metrics like average end-to-end delay and throughput based on this examination the SPAHN system yield good simulation results comparably existing systems.

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Weighted Semi-supervised Orthogonal Factor Analysis Model for Quality-Related process Monitoring

Weighted Semi-supervised Orthogonal Factor Analysis Model fo...

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Chinese control Conference (CCC)

作者： Xiaohui Cui Jian Yang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Ecust China University of Science and Technology Shanghai China

Probabilistic model has already been widely used for process monitoring. However, the obtained factors may contain quality-unrelated information, which is harmful to the quality-related process monitoring. Meanwhile, considering the situation of unequal sample rates of process and quality variables, a semi -supervised orthogonal factor analysis (Semi -SOFA) model is presented, further, to improve robustness, Semi-SOFA is extended to weighted form (WSemi-SOFA). This paper performs orthogonal decomposition on the obtained factors, which divides them into two parts: quality-related one and quality-unrelated one. Based on it, the corresponding T 2 statistics are designed to offer quality-related process monitoring, respectively. Besides, SPE statistics are constructed as supplement to monitor residuals. For effectiveness demonstration of the proposed method, TE benchmark is utilized.

关键词： Data models Monitoring Analytical models Probabilistic logic Robustness Predictive models Principal component analysis

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Observer-Based Adaptive Output-Feedback Quantized control for Switched Stochastic Nonlinear Time-Delay Systems

Observer-Based Adaptive Output-Feedback Quantized Control fo...

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第37届中国控制会议

作者： Yekai Yang Zhaoxu Yu Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Department of AutomationEast China University of Science and Technology

This paper is concerned with the adaptive output-feedback tracking control problem for switched stochastic nonlinear time-delay systems under arbitrary switching in the presence of input and output *** common Lyapunov-Krasoviskii functional approach,neural network(NN) approximation-based method and backstepping technique,a novel observer-based adaptive output-feedback controller is presented to guarantee that all signals of closed-loop systems are4-moment(or 2-moment) semi-globally uniformly ultimately bounded(SGUUB) and the tracking error can converge to a small neighborhood of the ***,a simulation example is given to verify the effectiveness of the proposed methodology.

关键词： Switched stochastic systems Adaptive quantized control Output-feedback Time-delay Lyapunov-Krasoviskii functional

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