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Chinese control Conference (CCC)

作者： Da-Wei Ding Xiaoli Li Zhiguo Shi Xianggui Guo Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing China School of Computer & Communication Engineering University of Science and Technology Beijing Beijing China School of Electrical Engineering Tianjin University of Technology Tianjin China

ISBN: (纸本)9781467325813

This paper is concerned with the problem of nonfragile H ∞ filtering for discrete-time nonlinear systems in Takagi-Sugeno's form. Additive interval uncertainty which reflects imprecision in filter implementation due to finite word length effects is considered. Based on vertex theory and probabilistic robust approach, deterministic and randomized filtering algorithms are proposed, respectively. Compared with the deterministic algorithm, advantages of the randomized algorithm are mainly two-fold. First, it has acceptable computational complexity, especially for high-dimensional systems. And second, it reduces the design conservatism. An example about diode-tunnel circuit is given to illustrate the effectiveness of the proposed method.

关键词： Robustness Algorithm design and analysis Uncertainty educational institutions Nonlinear systems Standards Convex functions

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Welding procedure expert system based on intelligent inference

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2014年 48卷 101-104页

作者： Wang, Xue-Wu Li, Yi-Xuan Yang, Shang-Yong Ding, Dong-Yan Gu, Xing-Sheng Key Laboratory of Advanced Control and Optimation for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

Intelligent welding procedure expert system was developed to improve welding procedure selection for welding process in this paper. The expert system was designed based on Client/Server (C/S) mode, and the main functions include system management, knowledge base management, intelligent inference, remote access, etc. BP model and DEPSO based BP model were established to realize parameter estimation. Reasonable parameters can be derived based on the intelligent inference model and input welding condition. Obtained welding procedure can be presented as welding procedure card and multimedia display of welding process. Besides it, the output function makes the data share more convenient. The system is beneficial to welding parameters selection and welding engineer training. ©, 2014, Shanghai Jiao Tong University. All right reserved.

关键词： Neural networks

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Camera self-calibration based on single rectangle

Camera self-calibration based on single rectangle

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International Conference on Intelligent control and Information processing (ICICIP)

作者： Jie Dong Zhen Qin Jie Dong is with School of Automation & Electrical Engineering University of Science and Technology Beijing and Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) Beijing China Zhen Qin was with School of Automation & Electrical Engineering University of Science and Technology Beijing Beijing China

The main difference between visual servo control and computer vision is the requirement of real-time control, which is often higher for the former. Considering the image-based visual control system, camera is included in the closed loop, so the precision is not sensitive to the error of camera parameters. A camera self-calibration method based on a single rectangle is proposed in the paper according to the fact that visual servo system emphasizes real-time property over accuracy for camera models. The image information of the four rectangular vertexes is obtained by the method based on the corner detection in curvature scale space, according to the geometric relationship constructing constraint equations to calibrate camera intrinsic parameters. The advantages of this method are its linear calculation and simple calibrating procedure, avoiding the complex problems of non-linear optimization. The feasibility of this method is shown through simulation and practicality experiments. Regardless of the lower robustness of the proposed method comparing to traditional calibration methods, it is more adaptable to visual servo control system due to its excellent real-time property.

关键词： Cameras Calibration Transmission line matrix methods Visualization Mathematical model Equations Real-time systems

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Iterative learning control of nonlinear system with state and control time delay

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2011年第SUPPL. 1期35卷 191-195页

作者： Ding, Bao Tao, Hong-Feng Yang, Hui-Zhong Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi 214122 China Shanghai Key Laboratory of Power Station Automation Technology Shanghai 200072 China

For nonlinear systems with state and control time delays in actual industrial processes, which have the initial deviation and disturbances of output errors, a PID-type iterative learning control algorithm for repetitive nonlinear time-varying systems with any desired outputs and bounded disturbances is investigated. By using the memories of the desired trajectories, control and tracking error expectations in the processes of iterative learning, the learning controller is designed with the variable batches of forgetting factors. Based on the λ norm theory and the Bellman-Gronwall inequality, the necessary and sufficient conditions for the existence of the learning gain are discussed, and the convergence of the control algorithm is analyzed to ensure that the batch error of the closed-loop tracking system is bounded. The robustness and dynamic performances of the system are improved. The simulation of the motion control of the single-joint robot arm illustrates the effectiveness of the proposed algorithm.

关键词： Time delay

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Data-Driven Source Term Estimation of Hazardous Gas Leakages Under Variable Meteorological Conditions

SSRN

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SSRN 2024年

作者： Ni, Chuantao Lang, Ziqiang Wang, Bing Li, Ang Cao, Chenxi Du, Wenli Qian, Feng Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Automatic Control and System Engineering University of Sheffield SheffieldS1 3JD United Kingdom

Source term estimation (STE) of hazardous gas leakages in chemical industrial parks (CIPs) is important for addressing environmental pollution and improving engineering safety and reliability. For this purpose, some least squares-based STE methods have recently been developed, which performs the real-time STE using an off-line determined response matrix that represents the relationship between the sensor measurements and strengths of hazardous gas leakages. However, these methods require the number and locations of potential hazardous gas leakage sources are known a priori, which is difficult in many practical applications. To resolve this issue, in the present study, a novel multi-sensor data-driven STE (MSDD-STE) approach is proposed, which overcomes the difficulties with existing least squares-based STE methods and can, for the first time, address the MSDD-STE problems in complicated scenarios where meteorological conditions such as wind directions change over a considerable range. A detailed analysis is introduced to evaluate the performance of the proposed approach. The effectiveness of the proposed approach is verified by comprehensive numerical simulation studies. © 2024, The Authors. All rights reserved.

关键词： Least squares approximations

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Input-output finite-time sliding mode fault-tolerant control for Markovian jump systems with incomplete transition rates

Input-output finite-time sliding mode fault-tolerant control...

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Chinese control and Decision Conference, CCDC

作者： Meng Zhao Haijuan Zhao Zhiru Cao Yugang Niu Ministry of Education The Key Laboratory of Smart Manufacturing in Energy Chemical Process (East China University of Science and Technology) Shanghai China School of Information and Control Engineering Qingdao University of Technology Qingdao China School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (纸本)9781665478977

This paper deals with the input-output finite-time sliding mode control (SMC) problem of a class of uncertain Markovian jump systems with incomplete transition rates. It is assumed that the actuator failure may occur. A mode-dependent sliding surface is constructed. By synthesizing a fault-tolerant SMC scheme, the specified sliding surface can be reached in finite time. Furthermore, the input-output finite-time stability over both the reaching and sliding motion stages is ensured simultaneously by establishing some sufficient conditions. Finally, the developed fault-tolerant SMC approach is verified by a numerical example.

关键词： Fault tolerance Actuators Sufficient conditions Fault tolerant systems Resists Sliding mode control Numerical stability

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Performance Analysis of SIMO Networked control Systems Under Quantization and Packet Dropout

Performance Analysis of SIMO Networked Control Systems Under...

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Chinese Automation Congress (CAC)

作者： Lingli Cheng Huaicheng Yan Xisheng Zhan Chen Yuan Key Laboratory of Smart Manufacturing in Energy Chemical Process of Ministry of Education East China University of Science and Technology Shanghai China School of Information Science and Engineering Chengdu University Chengdu China College of Mechatronics and Control Engineering Hubei Normal University Huangshi China

ISBN: (纸本)9781665426480

The performance analysis about single-input multiple-output networked control systems under quantization and packet dropout is studied in this work. Communication channels are affected by packet dropout and quantization. The optimal tracking performance with quantization and packet dropout is derived by frequency domain method. At the same time, the optimal tracking performance expression is described by a variety of decomposition techniques, which is calculated by the controller that stabilizes the system. The obtained result display that the optimal tracking performance is affected by the internal characteristics of the plant, quantization and packet dropout. Finally, the validity of the theoretical results is verified by numerical examples.

关键词： Quantization (signal) Automation Networked control systems Frequency-domain analysis Packet loss Interference Communication channels

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A Bayesian Approach to Total Least-Squares in Perturbed Compressive Sensing

SSRN

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SSRN 2024年

作者： Li, Junlin Sun, Weiwei Ding, Feng Lu, Renzhi School of Mathematics and Statistics Fuyang Normal University Fuyang236037 China Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi214122 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China

This paper introduces a Bayesian total least-squares (B-TLS) formulation to address the perturbedcompressive sensing problem. Due to the presence of a nonconvex nonseparable term, applying the traditional alternating minimization method to this formulation poses mathematical and computational challenges. To mitigate this problem, we develop a Bayesian proximal alternating linearized minimization (BPALM) method. In this method, every subproblem is characterized by convexity and yields solutions that are explicit and analytical. We further demonstrate the convergence of the proposed algorithm towards a stationary point of the objective function. Numerical experiments in sparse signal recovery are conducted to exhibit the proposed algorithm's effectiveness and superiority, focusing on its computational efficiency and estimation accuracy. © 2024, The Authors. All rights reserved.

关键词： Compressed sensing

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Design of ILC laws with conditions for stabilizing linear 2D discrete Roesser models

Design of ILC laws with conditions for stabilizing linear 2D...

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IEEE Conference on Decision and control

作者： Robert Maniarski Wojciech Paszke Hongfeng Tao Eric Rogers Institute of Automation Electronic and Electrical Engineering University of Zielona Góra Zielona Góra Poland Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi China School of Electronics and Computer Science University of Southampton Southampton UK

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

This paper considers the design of iterative learning control schemes by transforming the task into an equivalent problem of designing stabilizing control laws for the Roesser model for linear two-dimensional systems. Then, based on a non-conservative version of stability and stabilization conditions for linear 2D systems, a control law is designed based on linear matrix inequalities. In addition, some control performance indexes are improved by choosing the locations for the relevant transfer function, leading to faster convergence. Also, an additional linear matrix inequality constraint is developed to minimize the gain of designed controllers and facilitate their practical implementation. Furthermore, the problem of ILC control law design for strictly proper system dynamics using anticipative action. Finally, a numerical example demonstrates the effectiveness of the new results, including advantages when compared to the existing alternatives.

关键词： State feedback Uncertainty System dynamics Transfer functions Stability analysis Linear matrix inequalities Performance analysis

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Robust Iterative Learning control Design for a Class of Uncertain Batch processes

Robust Iterative Learning Control Design for a Class of Unce...

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European control Conference (ECC)

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

This paper investigates the problem of designing robust iterative learning control laws for discrete-time batch processes with norm-bounded parameter uncertainties. A law of proportional-differential type is designed to achieve robust convergence of the tracking error in the batch-to-batch direction. It is shown that the design problem can be written as a two-dimensional system. Then, the recently developed non-conservative conditions for (structural) stability analysis for a linear Roesser model are used. The conditions for the existence and computation of the required control law matrices are linear matrix inequality-based. Finally, comparative simulation results show the effectiveness of the new design.

关键词： Uncertain systems Analytical models Simulation Computational modeling Batch production systems Europe Linear matrix inequalities

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