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IEEE International Conference on Industrial Technology (ICIT)

作者： Yang Tang The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781467380768

This paper is concerned with robust H∞ self-triggered control of networked systems. The system considered here includes parameter uncertainties and packet dropouts. In order to compensate for the existence of deterministic packet dropouts, a new self-triggered control scheme is proposed. The main feature of the proposed self-triggered control strategy is that the next control task is predicted based on the self-triggered technique, in which the predicted event interval is divided equally for the sake of packet dropouts. The triggered condition is developed to ensure the stability of the uncertain sampled system by utilizing an uncertain algebraic Riccati equation and the comparison principle. Finally, an example of the inverted pendulum of a cart is provided to illustrate the effectiveness of the proposed results.

关键词： Sampled data systems Uncertain systems Stability analysis Packet loss Real-time systems Riccati equations

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Convergence Analysis for an Identifier-Based Adaptive Dynamic Programming Algorithm 34

Convergence Analysis for an Identifier-Based Adaptive Dynami...

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第三十四届中国控制会议

作者： SONG Jun NIU Yugang ZOU Yuanyuan Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781467374439

This paper investigates the uniformly ultimate boundedness(UUB) of an identifier-based adaptive dynamic programming(ADP) algorithm proposed in [7]. It is demonstrated that the estimation errors of weights in both critic and action networks are UUB during iteration learning. Moreover, a selection method on learning rates is also given.

关键词： Adaptive Dynamic Programming(ADP),Markov Jump Systems(MJSs),Uniformly Ultimately Boundedness(UUB)

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Stability Analysis of Full Form Dynamic Linearization controller Based Data-driven Model Free Adaptive control

Stability Analysis of Full Form Dynamic Linearization Contro...

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第28届中国控制与决策会议

作者： Yuanming Zhu Shangtai Jin IEEE Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology Advanced Control System Laboratory Beijing Jiaotong University

ISBN: (纸本)9781467397155

Full form dynamic linearization controller based data-driven model free adaptive control algorithm has been studied in control *** method merely requires the I/O data of the plant to design the controller and is easy for ***,there still lacks necessary research on the conditions which can guarantee the stability of the closed loop *** paper presents a stability analysis result for a class of nonlinear *** some mild assumptions,the convergence of the output regulating error was derived by rigorous mathematical method,which guarantees the correctness of the proposed method in theory.

关键词： Dynamic Linearization controller Data-driven Model Free Adaptive control Nonlinear System

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Identification of Stochastic Systems with Colored Noise by the Model Equivalence Theory

Identification of Stochastic Systems with Colored Noise by t...

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第28届中国控制与决策会议

作者： Dandan Meng Feng Ding Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan University

ISBN: (纸本)9781467397155

In order to improve the parameter estimation accuracy for equation-error ARMA systems,a new identification method is derivedd in this *** means of the model equivalence theory,the proposed algorithm reduces the number of the unknown noise terms in the information vector of the identification model to acquire good ***,the generalized extended least squares method is given for *** validity of the proposed method is evaluated through an numerical example.

关键词： Least Squares Equation-error ARMA System Comparative Coefficient Model Equivalence Parameter Estimation

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An Improved Probabilistic Principal Component Analysis Approach for process Monitoring and Fault Diagnosis

An Improved Probabilistic Principal Component Analysis Appro...

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World Congress on Intelligent control and Automation

作者： Zhengdao Zhang Bican Peng Linbo Xie Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Jiangnan University Wuxi

ISBN: (纸本)9781467384155

Recently probabilistic principal component analysis (PPCA) has been used for process monitoring and fault diagnosis, which can model the process noise and can handle the problem of missing data in the probabilistic framework. Nevertheless, the missing data samples are treated as principal components in conventional PPCA method, which causes the estimation accuracy is largely influenced by data missing rate. In this paper, a fault detection and identification method based on improved PPCA is proposed for industry process whose variables are missing with a large rate. First, for decreasing the estimation errors of the missing data, an improved estimation method for model parameters of PPCA and missing data is studied. By optimizing the low bound of a log-likelihood function, the missing data are imputed after the value of low bound is converged. Then, a Bayesian inference probability index is constructed to identify the major faulty variables. At last, a new fault diagnosis method is proposed for improving the accuracy of diagnosis with data missing and unknown noise. Using Tennessee Eastman process as a case study, the simulation results show that the proposed method is more accuracy, efficient and robust, under the condition of large missing data rate in the procedure of fault detection and diagnosis, than convention al PPCA method.

关键词： Data models Fault diagnosis Monitoring Fault detection process control Indexes Probabilistic logic

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Study on control Scheme for the Inverters in Low Voltage Microgrid with Nonlinear Loads

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IOP Conference Series: Materials Science and Engineering 2017年第1期199卷

作者： Jiqiang Xu Wenzhou Lu Lei Wu Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi China 214122

There are a lot of nonlinear loads in real low voltage microgrid system. It will cause serious output voltage and grid current harmonic distortions problems in island and grid-connected modes, respectively. To solve this problem, this paper proposes a droop control scheme with quasi-proportion and resonant (quasi-PR) controller based on αβ stationary reference frame to make microgrid smoothly switch between grid-connected and island modes without changing control method. Moreover, in island mode, not only stable output voltage and frequency, but also reduced output voltage harmonics with added nonlinear loads can be achieved; In grid-connected mode, not only constant power, but also reduced grid current harmonics can be achieved. Simulation results verify the effectiveness of the proposed control scheme.

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Consensus control for Agent Networks with Stationary Leaders

Consensus Control for Agent Networks with Stationary Leaders

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第28届中国控制与决策会议

作者： Wenbing Zhang Yang Tang Department of Mathematics Yangzhou University The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

ISBN: (纸本)9781467397155

This paper investigates the distributed containment control of multi-agent systems with multiple stationary leaders with event-triggering protocols.A distributed event-triggering protocol is proposed,where the triggering function of each agent with an exponentially decreasing threshold is developed to guarantee the convergence of the followers to the convex hull formed by the ***,simulations are given to illustrate the proposed event-triggering algorithm.

关键词： Sampled-data control Event-triggering control Containment control Multi-agent systems

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Distributed Consensus Analysis for A Class of Heterogeneous Multi-agent Systems Composed of First-order and Fourth-order Integrators

Distributed Consensus Analysis for A Class of Heterogeneous ...

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IEEE International Conference on control and Automation

作者： Jing Luo Cheng-Lin Liu Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University

ISBN: (纸本)9781509017393

Differential driven unmanned ground vehicles (UGVs) and quadrotor unmanned aerial vehicles (UAVs) are linearized as first-order integrators and fourth-order integrators respectively in this paper. Consensus problem is investigated for a heterogeneous multi-agent system composed of first-order and fourth-order agents. Firstly, consensus convergence for heterogeneous multi-agent systems is studied with stationary consensus algorithm, and sufficient consensus condition is presented under directed topology by using graph theory and matrix theory. Using Lyapunov stability theorem, besides, consensus condition in the form of linear matrix inequality is gained for the heterogeneous multi-agent systems with time-varying delay. Finally, simulation results verify the effectiveness of the research results.

关键词： Multi-agent systems integrators FIRST ORDER system clock Unmanned Aerial Vehicle matrix theory linear matrix inequalities Graph theory Lyapunov methods

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Fault detection and identification for a class of nonlinear systems with model uncertainty

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Applied Mathematical Modelling 2016年第15-16期40卷 7368-7381页

作者： Bingyong Yan Housheng Su Wei Ma School of Automation Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology 130 Meilong Road Shanghai 200237 China School of Automation Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory for Advanced Materials & Institute of Fine Chemicals East China University of Science and Technology 130 Meilong Road Shanghai 200237 China

In this paper, we present a novel fault detection and identification (FDI) scheme for a class of nonlinear systems with model uncertainty. At the heart of this approach is an on-line approximator, referred to as fault tracking approximator (FTA). Differently from the other approximators, the FTA uses iterative algorithms to detect and identify nonlinear system faults, even in the presence of model uncertainty, which is motivated by predictive control theory and iterative learning control theory. The FTA can simultaneously detect and identify the shape and magnitude of the faults. The rigorous stability analysis and fault tracking properties of the FTA are also proved. Finally, two examples are given to illustrate the feasibility and effectiveness of the proposed approach.

关键词： Fault detection and identification Predictive control Iterative learning control

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Robust fault detection for nonlinear discrete-time Markovian jump systems with partly unknown transition probabilities

Robust fault detection for nonlinear discrete-time Markovian...

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World Congress on Intelligent control and Automation (WCICA)

作者： Jiangbin Shi Yanyan Yin Fei Liu Institute of Automation Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Wuxi Jiangsu China

ISBN: (纸本)9781467384155

The problem of robust fault detection (RFD) for nonlinear discrete-time Markovian jump systems (MJSs) with partly unknown transition probabilities is investigated in the paper. With the method of T-S fuzzy linearization, the original systems are described as a set of local linear models. The RFD observer (RFDO) system and the dynamics of error generator are constructed. By introducing some free-weighting matrices, the proposed method leads to less conservatism compared with the existing ones. Moreover, the H ∞ performance index is proposed to minimize the influence of the unknown disturbances. A sufficient condition is first established on the stochastic stability using stochastic Lyapunov-krasovskii function, then in the terms of linear matrix inequalities techniques, the sufficient conditions on the existence of RFDO are presented and proved. Finally, A simulation example is given to illustrate that the proposed RFDO can detect the faults correctly and shortly after the occurrence.

关键词： Fault detection Observers Performance analysis Automation Robustness Stochastic processes Thermal stability

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