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Absolute stability of Lur'e singularly perturbed systems with multiple nonlinearities

Absolute stability of Lur'e singularly perturbed systems wit...

引用

作者： Yang, Chunyu Zhang, Qingling Chou, Jyh-Horng Zhang, Yingwei Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 China Institute of Systems Science Northeastern University Shenyang 110004 China Institute of System Information and Control Engineering National Kaohsiung First University of Science and Technology I University Road Yuanchau Kaohsiung 824 Taiwan

ISBN: (纸本)9781424474264

This paper investigates the absolute stability problem for Lur'e singularly perturbed systems with multiple nonlinearities. The objective is to determine if the system is absolutely stable for any Ε ∈ (0, Ε0], where Ε denotes the perturbation parameter and Ε0 is a pre-defined positive scalar. Firstly, an Ε-dependent Lyapunov function of Lur'e-postnikov form is constructed. Then, a stability criterion expressed in terms of Ε-independent linear matrix inequalities (LMIs) is derived. Finally, an example is given to show the feasibility and effectiveness of the obtained method. © 2010 AACC.

关键词： Stability criteria

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Hybrid Intelligent control for a Closed-Circuit Grinding process

Hybrid Intelligent Control for a Closed-Circuit Grinding Pro...

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2010 49th IEEE Conference on Decision and control

作者： Da-yong Zhao Tian-you Chai Jun Fu Hong Wang Key Laboratory of Integrated Automation of Process Industry (Northeastern University) Ministry of Education and Research Center of Automation Northeastern University Shenyang China Control Systems Centre the University of Manchester Manchester M60 1QD UK

ISBN: (纸本)9781424477456

In this paper, a hybrid intelligent control method for a closed-circuit grinding process (CCGP) is developed to stabilize the grinding process in mineral processing and replace the manual operation. This method integrates a cascade averaging controller (CAC), an abnormal sump level controller using rule based reasoning (RBR), a switching controller for the slurry pump speed and a feeding concentration controller of the hydroclone into one efficient control module. The hybrid intelligent control system has been built and implemented in a concentration plant in China. The industrial applications show the validity and effectiveness of the proposed method.

关键词： control module Intelligent control controllers slurry pumps intelligent control system level controller switching controller

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Dynamic Prediction Model for Mixed Concentrate Grade of Mineral processing Plant

Dynamic Prediction Model for Mixed Concentrate Grade of Mine...

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2010 49th IEEE Conference on Decision and control

作者： Jinliang Ding Tianyou Chai Hong Wang Key Laboratory of Integrated Automation of Process Industry(Northeastern University) Ministry of Education Shenyang 110004 P.R. China Control Systems Center School of Electrical and Electronic Engineering The University of Manchester Manchester M13 9PL UK

ISBN: (纸本)9781424477456

A non-linear modelling approach of dynamic prediction model for mixed concentrate grade consisting of a linear part and a nonlinear part is developed. The nonlinear part is implemented using the least squares support vector machine (LS-SVM), where the problem of selecting model parameters is transformed into the probability distribution function (PDF) control of the modelling error. Both the PDF control based and minimum entropy based model parameter selection approaches are proposed. The experiment results show the effectiveness of the proposed approaches.

关键词： concentrate grade Prediction models mineral processing plants model parameters

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Tension Soft Sensor of Continuous Annealing Lines Using Cascade Frequency Domain Observer with Combined PCA and Neural Networks Error Compensation

Tension Soft Sensor of Continuous Annealing Lines Using Casc...

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2010 49th IEEE Conference on Decision and control

作者： Qiang Liu Tianyou Chai Hong Wang S. Joe Qin Key Laboratory of Integrated Automation of Process Industry (Northeastern University) Ministry of Education and Research Center of Automation Northeastern University Shenyang China Control Systems Centre the University of Manchester Manchester M60 1QD the United Kingdom Mork Family Department of Chemical Engineering and Materials Science the Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA 90089-1211 USA

ISBN: (纸本)9781424477456

In continuous annealing processes, strip tension is an important factor which indicates whether the annealing line works steadily. The strip tension detection in the continuous annealing process, therefore, is essential for the reliable and stable operation of the units, and will help to improve the quality of strip products. However, in real annealing processes, only a limited number of strip tensions can be measured. Since installing tension sensors everywhere will be unrealistic and expensive, in this paper a cascade reduced-order observer method with principal component analysis (PCA) and neural networks (NN) compensation is proposed to estimate the unknown tensions between each two neighboring rolls so as to monitor the tension profile for the whole line. When the main observer model is established, the influences of strip inertia and roll eccentricity on tensions are taken into account for better estimation. Moreover, when the error compensation is designed, PCA scores are used as the inputs to the NN. The application results show the effectiveness of the proposed method, with the estimated tensions used for the analysis of the strip-breaks fault.

关键词： Error compensation Continuous annealing annealing tension strip tension stability operations Neural network cascades

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Absolute stability of Lur'e singularly perturbed systems with multiple nonlinearities

Absolute stability of Lur'e singularly perturbed systems wit...

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American control Conference

作者： Chunyu Yang Qingling Zhang Jyh-Horng Chou Yingwei Zhang Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 P.R. China Institute of Systems Science Northeastern University Shenyang 110004 P.R. China Institute of System Information and Control Engineering National Kaohsiung First University of Science and Technology I University Road Yuanchau Kaohsiung 824 Taiwan

ISBN: (纸本)9781424474264

This paper investigates the absolute stability problem for Lur'e singularly perturbed systems with multiple nonlinearities. The objective is to determine if the system is absolutely stable for any epsilon E (0, (epsilon)_(0)], where epsilon denotes the perturbation parameter and (epsilon)_(0) is a pre-defined positive scalar. Firstly, an epsilon-dependent Lyapunov function of Lur'e-postnikov form is constructed. Then, a stability criterion expressed in terms of epsilon-independent linear matrix inequalities (LMIs) is derived. Finally, an example is given to show the feasibility and effectiveness of the obtained method.

关键词： Robust stability Stability criteria control systems Lyapunov method Power system stability Power system modeling Educational institutions Nonlinear control systems control nonlinearities USA Councils

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Identifiability study of a pressurizer in a pressurized water nuclear power plant 10

Identifiability study of a pressurizer in a pressurized wate...

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2009 10th European control Conference, ECC 2009

作者： Szederkenyi, Gabor Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9783952417393

In this paper, the identifiability of a pressurizer model is investigated. The modeled physical system is located in the primary circuit of a pressurized water nuclear power plant. A simple first principle model for the pressurizer is used for the calculations and it is shown that both the appropriately transformed and the original physical model parameters are structurally identifiable. © 2009 EUCA.

关键词： Nuclear power plants

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Fault tolerant actuators and drives - Structures, fault detection principles and applications

Fault tolerant actuators and drives - Structures, fault dete...

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7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical systems, SAFEprocess'09

作者： Muenchhof, Marco Beck, Mark Isermann, Rolf Technische Universität Darmstadt Institute of Automatic Control Laboratory for Control Systems and Process Automation Darmstadt Germany

ISBN: (纸本)9783902661463

As fault detection and fault diagnosis are more and more finding their way into modern industrial mechatronic products, it is now time to take the next step. Based on the research efforts for fault detection and diagnosis, a platform has been prepared for research on fault management, i.e. automatic reactions of the system to continue operation after the detection of faults. These reactions may employ hardware redundancy (i.e. switching from a faulty actuator to another, intact one) or analytical redundancy (i.e. switching from a faulty sensor to a "model sensor" or "soft sensor"). A total fault tolerance concept must encompass all components of a system, i.e. the actuators and drives, the sensors as well as the controller and communication. In many cases, a degradation of functions has to be accepted after a fault has appeared. This contribution will center on actuators and drives showing real-world examples of prototypical realizations and examples from industrial products. Concentrating on the most widespread actuation principles, the paper will focus on electric drives and hydraulic actuators. First, a review is given on fault tolerance principles and general structural considerations e.g. hot-standby and cold-standby, focusing on the scheme of an overall fault-tolerant control system. Then, fault statistics for real actuators and drives will be presented. These fault statistics give hints on the parts of the actuators that are most susceptible to faults. Different designs of fault tolerant actuators and drives, which have been realized, shall be presented and evaluated with respect to their capabilities of sustaining faults. Finally, an outlook for fault-tolerant mechatronic systems will be given. © 2009 IFAC.

关键词： Aerospace applications

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Neural-net model based fault diagnosis for hydraulic servo axes

Neural-net model based fault diagnosis for hydraulic servo a...

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作者： Muenchhof, Marco Clever, Sebastian Technische Universität Darmstadt Institute of Automatic Control Laboratory for Control Systems and Process Automation 64283 Darmstadt Germany

ISBN: (纸本)9783902661463

In this paper, fault detection methods for hydraulic systems based on a parity equation approach with neural net models are presented. Hydraulic systems are used in manifold applications in industry. They are however not yet the subject of intense research in the area of fault detection and diagnosis, which can be mainly attributed to their strong nonlinear behavior, which exacerbates the physical modeling extensively. To avoid the difficulties associated with the physical modeling, a data-driven modeling approach based on the LOLIMOT neural network will be presented in this paper. Different subsystems of the hydraulic servo axis will be modeled using different sensor configurations. Experimental data from a real testbed allow to compare the model fidelity of the different resulting neural nets and can also be used to illustrate the capabilities of the parity-equation based fault detection approach, which in general allows the detection of tiny faults, such as sensor offset faults in the area of a few percent of the maximum sensor readout. © 2009 IFAC.

关键词： Fault detection

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Fault management for a Three Mass Torsion Oscillator 10

Fault management for a Three Mass Torsion Oscillator

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2009 10th European control Conference, ECC 2009

作者： Bahr, Joachim Munchhof, Marco Isermann, Rolf Institute of Automatic Control Laboratory for Control Systems and Process Automation Technische Universität Darmstadt Landgraf-Georg-Str. 4 Darmstadt64283 Germany

ISBN: (纸本)9783952417393

A model-based fault management system for a Three Mass Torsion Oscillator is described. Fault management includes fault detection, fault diagnosis and fault compensation. A process model of system dynamics is derived. Friction effects are modelled by a neuro-fuzzy Local Linear Model Tree (LOLIMOT) approach. Parameter estimation is obtained with two simple experiments. A friction estimation stage is used to support fault diagnosis and potential control applications. Parity equations are used to detect and diagnose speed sensor failures. In case of sensor failures, the fault management system initiates reconfiguration operations. The failure of one sensor is compensated by substituting the sensor signal with the output of a process model fed by other, intact sensors. The methods presented are evaluated using experimental measurements of a test rig. © 2009 EUCA.

关键词： Failure analysis

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Dynamical modeling and identification of a GnRH neuron

Dynamical modeling and identification of a GnRH neuron

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作者： Csercsik, Dávid Szederkényi, Gábor Hangos, Katalin M. Farkas, Imre Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary Department of Endocrine Neurobiology Institute of Experimental Medicine HAS Budapest Hungary

ISBN: (纸本)9783902661494

GnRH neurons, as key elements of the reproductive neuroendocrine system, have important central regulating role in the dynamics of the hormonal cycle. A Hodgkin-Huxley type neural model is proposed in this paper, that takes into account up-to-date biological literature data related to ion channels. The proposed neuron model is highly nonlinear in parameters and the evaluation of the objective function is computationally flexpensive, therefore the asynchronous parallel pattern search (APPS) procedure has been used for identification. The model with high number of estimated parameters provides a qualitatively good fit of both voltage clamp and current clamp traces. © 2009 IFAC.

关键词： Neurons

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