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Globally stabilizing state feedback control design for Lotka-Volterra systems based on underlying linear dynamics

IFAC-PapersOnLine 2015年第11 11期48卷 1000-1005页

作者： Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetem street 10. Veszprém H-8200 Hungary Process Control Research Group Control and Automation Research Institute HAS Kende street 13-17 BudapestH-1111 Hungary

Using translated X-factorable phase space transformations and nonlinear variable transformations a dynamically similar linear ODE model is associated to the Lotka-Volterra system models with a positive equilibrium point. This enables to use a linear full state feedback controller to stabilize the system in controllable cases, that leaves the open loop equilibrium point unchanged. The linear state feedback controller design problem in the general case has also been formulated to ensure the compartmental property of the closed loop system from which the existence of a diagonal Lyapunov function follows. Further extension has been obtained by using the time re-parametrization transformation defined for quasi-polynomial models. © 2015

关键词： Mathematical transformations Biological systems Closed loop systems controllers Feedback control Linear transformations Lyapunov functions Phase space methods Polynomial approximation Predator prey systems State feedback Diagonal Lyapunov functions Linear state feedback Lotka Volterra models Lotka Volterra systems Nonlinear variables Phase space transformation Positive equilibrium Quasi poly nomial

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Guest Editorial for Special Issue on Cyber-Physical systems

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IEEE/CAA Journal of Automatica Sinica 2015年第3期2卷 233-234页

作者： Youxian Sun Xinping Guan Jiming Chen Yilin Mo Zhejiang University the Chinese Academy of Engineering the Institute of Industrial Process Control and the National Engineering Research Center of Industrial Automation Zhejiang University Department of Automation Shanghai Jiao Tong University University Research Management Office Shanghai Jiao Tong University the Key Laboratory of Systems Control and Information Processing Ministry of Education of China the prestigious Innovative Research Team of the National Natural Science Foundation of China(NSFC) Department of Control Science and Engineering group of Networked Sensing and Control in the State Key laboratory of Industrial Control Technology Institute of Industrial Process Control at Zhejiang University the School of Electrical and Electronic Engineering at Nanyang Technological University

Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday *** development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life

关键词： for WSAN Guest Editorial for Special Issue on Cyber-Physical systems of into on WSN is

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Robust Decentralized control of Interconnected Nonlinear systems Subject to Uncertainties and Disturbances via Generalized Extended State Observers 34

Robust Decentralized Control of Interconnected Nonlinear Sys...

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第三十四届中国控制会议

作者： ZHANG Chuanlin YANG ning HE Shuaipeng JIA Ruting Shanghai Engineering Research Center of Intelligent Management and Control for Power Process College of Automation EngineeringShanghai University of Electric Power Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Electrical and Computer Engineering Department California State University

ISBN: (纸本)9789881563897

This paper studies the problem of robust decentralized control for a class of large-scale interconnected systems subject to uncertainties and disturbances via a generalized active disturbance rejection control method. First, a novel extended state observer(ESO) is constructed separately for each subsystem with less dependence of the precise system information and structure. Second, an explicit formula of the decentralized active disturbance rejection control(DADRC) law is presented by utilizing the output feedback domination approach. It is shown that by a delicate analysis procedure, the closed-loop system can be rendered semi-globally asymptotically stable only using decentralized output feedback anti-disturbance controller. Numerical simulations show the efficiency of the proposed method.

关键词： output feedback control global stabilization disturbance rejection control extended state observer

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Mathematical modelling and sensitivity analysis of multipolar radiofrequency ablation in the spine 9

Mathematical modelling and sensitivity analysis of multipola...

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9th IFAC Symposium on Biological and Medical systems, BMS 2015

作者： Matschek, Janine Himmel, Andreas Von Haeseler, Friedrich Bullinger, Eric Skalej, Martin Findeisen, Rolf Laboratory for Systems Theory and Automatic Control Otto-von-Guericke University Magdeburg Germany Forschungscampus STIMULATE Magdeburg Germany Department of Process Systems Engineering Otto-von-Guericke University Magdeburg Germany Institute for Neuroradiology University Hospital of Magdeburg Germany

Mathematical models of the radiofrequency ablation enable to plan, monitor and control interventions allowing to predict and improve their outcome. A system of coupled partial differential equations suitable for planning, analysis and real time implementation is proposed to model the multipolar radiofrequency ablation under consideration of capillary blood perfusion in the spine. To address the multipolar operation, time dependent boundary conditions to the model are introduced. Accounting for the application in the spine, consisting of various tissue types, we consider spatially distributed model parameters. Since the spatially distributed parameters play a key role, analytic expressions for a sensitivity analysis are derived. Based on the model, simulations are performed underlining the quality of the approach and analysing the influence of the spatially distributed parameters. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Sensitivity analysis

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Globally stabilizing state feedback control design for Lotka-Volterra systems based on underlying linear dynamics

Globally stabilizing state feedback control design for Lotka...

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关键词： Closed loop systems

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An Efficient Distributed Algorithm for Multi-Stage Robust Nonlinear Predictive control

An Efficient Distributed Algorithm for Multi-Stage Robust No...

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European control Conference

作者： Ruben Marti Sergio Lucia Daniel Sarabia Radoslav Paulen Sebastian Engell Cesar de Prada Department of Systems Engineering and Automatic Control University of Valladolid Process Dynamics and Operations Group Technische Universitt Dortmund Department of Electromechanical Engineering Escuela Politecnica Superior University of Burgos

ISBN: (纸本)9781467371605

This paper presents an algorithmic development in the framework of computationally efficient robust Non-linear Model Predictive control (NMPC) which deals with a parametric plant-model mismatch, where the description of the evolution of the uncertainty is done using a scenario tree, known as multi-stage approach. In order to reduce the computational time and memory requirements of the multistage NMPC, the calculations of the optimal control inputs can be done scenario-wise in parallel. These parallelized calculations must enforce the satisfaction of the non-anticipativity constraints, which is negotiated iteratively among the scenarios using Lagrangean or price-driven decomposition. The main challenge in using such scheme is the determination of the values of the aggregate variables that are used to coordinate the scenario-wise computations for convergence to the feasibility of the non-anticipativity constraints. The proposed approach uses parametric sensitivities of the optimal model states with respect to the control inputs which are used for the iterative determination of the values of aggregated variables. The proposed method achieves good performance and faster convergence compared to traditional decomposition schemes. The potential of the approach is demonstrated in simulation example of an hydrodesulphurisation unit.

关键词： control input Nonlinear predictive control nonlinear model predictive control distributed algorithms memory requirements Converge computational time Parametric

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Multi-source information fusion model in rule-based Gaussian-shaped fuzzy control inference system incorporating Gaussian density function

Multi-source information fusion model in rule-based Gaussian...

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作者： Li, Zairan He, Ting Cao, Luying Wu, Tunhua McCauley, Pamela Balas, Valentina E. Shi, Fuqian Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and Automation Tianjin University Tianjin China Wenzhou Vocational and Technical College Wenzhou China College of Information and Engineering Wenzhou Medical University Wenzhou325035 China Department of Industrial Engineering and Management Systems University of Central Florida OrlandoFL United States Department of Automation and Applied Informatics Aurel Vlaicu University of Arad Romania

An increasing number of applications require the integration of data from various disciplines, which leads to problems with the fusion of multi-source information. In this paper, a special information structure formalized in terms of three indices (the central presentation, population or scale, and density function) is proposed. Single and mixed Gaussian models are used for single source information and their fusion results, and a parameter estimation method is also introduced. Furthermore, fuzzy similarity computing is developed for solving the fuzzy implications under a Mamdani model and a Gaussian-shaped density function. Finally, an improved rule-based Gaussian-shaped fuzzy control inference system is proposed in combination with a nonlinear conjugate gradient and a Takagi-Sugeno (T-S) model, which demonstrated the effectiveness of the proposed method as compared to other fuzzy inference systems. © 2015 - IOS Press and the authors. All rights reserved.

关键词： Fuzzy control

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Mathematical Modelling and Sensitivity Analysis of Multipolar Radiofrequency Ablation in the Spine ∗

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IFAC-PapersOnLine 2015年第20期48卷 243-248页

作者： Janine Matschek Andreas Himmel Friedrich von Haeseler Eric Bullinger Martin Skalej Rolf Findeisen Laboratory for Systems Theory and Automatic Control Otto-von-Guericke University Magdeburg Germany Forschungscampus STIMULATE Magdeburg Germany Department of Process Systems Engineering Otto-von-Guericke University Magdeburg Germany Institute for Neuroradiology University Hospital of Magdeburg

关键词： Multipolar radiofrequency ablation sensitivity analysis spinal column mathematical modelling

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Enabling the integrated use of simulation within the life cycle of a process plant: An initial roadmap: Results of an in-depth online study

Enabling the integrated use of simulation within the life cy...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Mathias Oppelt Mike Barth Markus Graube Leon Urbas Siemens AG Karlsruhe Germany Department of Information Technologies Pforzheim University Pforzheim Germany Department of Process Control Systems Engineering Technische Universität Dresden Dresden Germany

Modern process plants are becoming more and more complex with high demands placed on design, engineering and operation. Throughout the life cycle of process plants, there is always the typical conflict involving costs, time and quality. One way of resolving this conflict is to employ simulation technology as it can be used to answer questions relating to engineering and operation earlier and with lower risks. To investigate the current and future role of simulation over the life cycle of a process plant, the authors conducted a global survey from July to October 2014. More than 200 persons participated in the survey. The results of the survey are described in this paper, and an initial technological roadmap derived showing a possible course for the future and creating a basis for discussion. The roadmap in this paper is based on action fields that need to be developed to enable a concurrent use of simulation over the complete life cycle of a process plant.

关键词： Training Modeling Companies Mathematical model Optimization process control Production

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Model Predictive control in Industry: Challenges and Opportunities

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IFAC-PapersOnLine 2015年第8期48卷 531-538页

作者： Michael G. Forbes Rohit S. Patwardhan Hamza Hamadah R. Bhushan Gopaluni Honeywell Process Solutions North Vancouver BC V7J 3S4 Canada Process & Control Systems Department Saudi Aramco Dhahran 31311 Saudi Arabia Department of Chemical and Biological Engineering University of British Columbia Vancouver BC V6T 1Z3 Canada

With decades of successful application of model predictive control (MPC) to industrial processes, practitioners are now focused on ease of commissioning, monitoring, and automation of maintenance. Many industries do not necessarily need better algorithms, but rather improved usability of existing technologies to allow a limited workforce of varying expertise to easily commission, use, and maintain these valued applications. Continuous performance monitoring, and automated model reidentification are being used as vendors work to deliver automated adaptive MPC. This paper examines industrial practice and emerging research trends towards providing sustained MPC performance.

关键词： industrial control process control model-based control predictive control adaptive control performance monitoring control applications human factors

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