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International Conference on control and automation (ICCA)

作者： Sergej Čelikovský Volodymyr Lynnyk Institute of Information Theory and Automation Academy of Sciences슠of the슠Czech Republic Prague Czech Republic Department of Control Engineering Faculty of Electrical Engineering Czech Technical University Czech Republic

This paper studies yet another improvement of the anti-synchronization chaos shift keying scheme for the secure encryption and decryption of the digital data. A new concept of the detection of the correct binary value in the receiver is introduced here. The proposed method requires very reasonable amount of data to encrypt and time to decrypt one bit. Basically, to encrypt one bit, only one iteration (i.e. only one real number of 6 valid digits) is needed. At the same time, thanks to the anti-synchronization detection based on the synchronization error second derivative, almost 100% of the carrying chaotic signal can be used. The security of the proposed method can be systematically investigated showing its good resistance against typical decryption attacks. The theoretical analysis of the introduced method is supported by the numerical experiments with digital data encryption.

关键词： Chaos Cryptography automation Frequency synchronization Data security Automatic control Error correction Signal analysis control engineering System testing

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Anti-synchronization chaos shift keying method: error derivative detection improvement. *

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IFAC Proceedings Volumes 2009年第7期42卷 128-133页

作者： Sergej Ĉelikovský Volodymyr Lynnyk Institute of Information Theory and Automation Academy of Sciences of the Czech Republic P.O. Box 18 182 08 Prague 8 Czech Republic Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Czech Republic

This paper studies a new modification of the anti-synchronization chaos shift keying scheme for the secure encryption and decryption of data. A new concept of the detection of the correct/incorect binary value in the receiver is used. The method proposed here requires very reasonable amount of data to encrypt and time to decrypt a single bit. Basically, to encrypt a single bit, only one iteration is needed. Moreover, the security of this method is systematically investigated showing its good resistance to typical decryption attacks. Theoretical results are supported by the numerical simulations.

关键词： Nonlinear system chaos shift keying generalized Lorenz system synchronization anti-synchronization secure communication

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Approximation-Based Adaptive Tracking control of Pure-Feedback Nonlinear Systems with Multiple Unknown Time-Varying Delays

Approximation-Based Adaptive Tracking Control of Pure-Feedba...

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Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Min Wang Shuzhi Sam Ge College of Automation and the Center for Control and Optimization South China University of Technology the Institute of Intelligent Systems and Information Technology University of Electronic Science and Technology of China the Department of Electrical and Computer Engineering National University of Singapore

This paper presents adaptive neural tracking control for a class of non-affine pure-feedback systems with multiple unknown state time-varying delays. The separation technique is introduced to decompose unknown functions of all time-varying delayed states into a series of continuous functions of each delayed state. A novel Lyapunov-Krasovskii functional is employed to compensate for the unknown function of current delayed state, which is effectively free from any restrictive assumption on unknown time-delay functions. The proposed control scheme guarantees the boundedness of all the signals in the closed-loop system and the tracking *** studies are provided to demonstrate the effectiveness of the proposed scheme.

关键词： Lyapunov Approximation-Based Adaptive Tracking control of Pure-Feedback Nonlinear Systems with Multiple Unknown Time-Varying Delays

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LPV Model Identification using Blended Linear Models with given Weightings

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IFAC Proceedings Volumes 2009年第10期42卷 1674-1679页

作者： Yucai Zhu Guoli Ji Control Systems Faculty of Electrical Engineering Eindhoven University of Technology PO BOX513 5600MB Eindhoven the Netherlands Department of Automation Xiamen University Xiamen 361005 China Also at: Tai-Ji Control Grensheuvel 10 5685 AG Best Netherlands

Nonlinear process identification is studied. In model identification, a linear parameter varying (LPV) model is used and it consists of weighted local linear models. In this work, predetermined weighting functions are used and the LPV model identification becomes a linear identification problem with multiple weighted input data sets. So simplicity is its strength. The developed method is especially suitable for batch processes for which only transition tests are feasible and no working point tests are permitted. It is also suitable for continuous nonlinear process identification. Identifiability and stability of the LPV model are discussed. Simulation studies will be used to verify the effectiveness of the method.

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Identification, Prediction and Detection of the Process Fault in a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification, Prediction and Detection of the Process Faul...

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International Conference on Computer and electrical engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering Sharif University of Technology International Campus Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

In this paper, we use nonlinear system identification method to predict and detect process fault of a cement rotary kiln. After selecting proper inputs and output, an input-output model is identified for the plant. To identify the various operation points in the kiln, Locally Linear Neuro-Fuzzy (LLNF) model is used. This model is trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. Then, by using this method, we obtained 3 distinct models for the normal and faulty situations in the kiln. One of the models is for normal condition of the kiln with 15 minutes prediction horizon. The other two models are for the two faulty situations in the kiln with 7 minutes prediction horizon are presented. At the end, we detect these faults in validation data. The data collected from White Saveh Cement Company is used for in this study.

关键词： Fault diagnosis Fault detection Kilns Production facilities electrical fault detection Fuzzy systems Delay estimation Nonlinear systems Predictive models automation

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Identification of Nonlinear Predictor and Simulator Models of a Cement Rotary Kiln by Locally Linear Neuro-Fuzzy Technique

Identification of Nonlinear Predictor and Simulator Models o...

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International Conference on Computer and electrical engineering, ICCEE

作者： Masoud Sadeghian Alireza Fatehi Department of Mechatronics Engineering International Campus Sharif University of Technology Kish Island Iran Advanced Process Automation and Control (APAC) Research group Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

One of the most important parts of a cement factory is the cement rotary kiln which plays a key role in quality and quantity of produced cement. In this part, the physical exertion and bilateral movement of air and materials, together with chemical reactions take place. Thus, this system has immensely complex and nonlinear dynamic equations. These equations have not worked out yet. Only in exceptional case; however, a large number of the involved parameters were crossed out and an approximation model was presented instead. This issue caused many problems for designing a cement rotary kiln controller. In this paper, we presented nonlinear predictor and simulator models for a real cement rotary kiln by using nonlinear identification technique on the Locally Linear Neuro-Fuzzy (LLNF) model. For the first time, a simulator model as well as a predictor one with a precise fifteen minute prediction horizon for a cement rotary kiln is presented. These models are trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. At the end, the characteristics of these models are expressed. Furthermore, we presented the pros and cons of these models. The data collected from White Saveh Cement Company is used for modeling.

关键词： Predictive models Kilns Computational modeling Power system modeling Production facilities Nonlinear control systems Chemical technology Nonlinear equations Automatic control Process control

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Robust Proportional-Integral control of a Laboratory Model Using Programmable Logic controller SIMATIC S7-300

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IFAC Proceedings Volumes 2009年第6期42卷 36-41页

作者： Radek MatuŜu Katarína Vaneková Roman Prokop Monika BakoŜová Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Nad Stránemi 4511 76005 Zlín Czech Republic Tel: +420 576 033 015 fax: +420 576 035 279 Department of Information Engineering and Process Control Faculty of Chemical and Food Technology Slovak University of Technology in Bratislava Radlinského 9 81237 Bratislava Slovakia Tel: +421 259 325 364 fax: +421 252 496 469

The main aim of the contribution is to present a possible approach to design of simple Proportional-Integral (PI) robust controllers and subsequently to demonstrate their applicability during control of a laboratory model with uncertain parameters through the Programmable Logic controller (PLC) SIMATIC S7–300 by Siemens Company. The proposed and utilized synthesis consists of two steps – the former one is a determination of controller parameters area, which ensures the robustly stable control loop and which is based on the computing/plotting the stability boundary locus while the latter one lies in the final choice of the controller itself relying on algebraic techniques. The basic theoretical parts are followed by laboratory experiments in which the 3rd order nonlinear electronic model has been successfully controlled in various working points.

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Robust variance-constrained fault-tolerant control for a class of nonlinear stochastic systems

Robust variance-constrained fault-tolerant control for a cla...

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Asian control Conference

作者： Lifeng Ma Zidong Wang Zhi Guo Hongli Dong Bo Shen School of Automation Nanjing University of Science and Technology of PLA Nanjing China Department of Information Systems and Computing Brunei University Uxbridge Middlesex UK College of Electrical and Information Engineering Daqing Petroleum Institute Daqing China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China School of Information Science and Technology Donghua Uinversity Shanghai China

ISBN: (纸本)9781424454402

This paper is concerned with the variance-constrained controller design problem for a class of uncertain nonlinear stochastic systems with possible actuator faults. The stochastic nonlinearities described by statistical means are quite general that include several well-studied classes of nonlinearities as special cases. A model of actuator failures is adopted which is more practical than the traditional outage one. A linear matrix inequality (LMI) approach is proposed to solve the multiobjective fault-tolerant controller design problem, where both the exponential stability and the steady-state state variance indices are simultaneously guaranteed. Within the developed LMI framework, a sufficient condition for the solvability of the robust control problem is obtained. The explicit expression of the desired controllers is also parameterized and a single degree-of-freedom (SDOF) model is used to demonstrate the effectiveness and applicability of the proposed design approach.

关键词： Robust control Fault tolerant systems Nonlinear control systems control systems Stochastic systems Actuators Stochastic processes Linear matrix inequalities Fault tolerance Stability

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Stability analysis approach to a class of fuzzy controlled nonlinear time-varying systems

Stability analysis approach to a class of fuzzy controlled n...

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Eurocon

作者： Radu-Emil Precup Marius L. Tomescu Stefan Preitl Emil M. Petriu Stefan Kilyeni Constantin Barbulescu Department of Automation and Applied informatics Polytechnic University of Timisoara Romania West University of Timisoara Timisoara Romania Polytechnic University of Timisoara Timisoara Romania School of Information Technology and Engineering University of Ottawa Canada Electrical and Power Engineering Faculty Polytechnic University of Timisoara Romania

A stability analysis approach a class of fuzzy controlled single input-single output nonlinear time-varying systems is proposed in the paper. The stability analysis is done in the sense of Lyapunov resulting in sufficient uniform asymptotic stability conditions to be used in the design of Takagi-Sugeno fuzzy logic controllers (FLCs). Use is made of quadratic positive definite Lyapunov function candidates. An illustrative example validates the stability analysis approach by the designing of the FLC to control a nonlinear plant.

关键词： Stability analysis Fuzzy control Fuzzy systems Nonlinear control systems control systems Time varying systems Asymptotic stability Takagi-Sugeno model Fuzzy logic Lyapunov method

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LMI based design for the Acrobot walking *

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IFAC Proceedings Volumes 2009年第16期42卷 461-466页

作者： Milan Anderle Sergej Čelikovský Didier Henrion Jiří Zikmund Czech Technical University in Prague Faculty of Electrical Engineering Department of Control Engineering Technická 2 166 27 Prague Czech Republic Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Pod vodárenskou věží 4 182 08 Prague Czech Republic LAAS-CNRS University of Toulouse 7 avenue du colonel Roche 31077 Toulouse France

Abstract This paper aims to further improve previously developed design for Acrobot walking based on partial exact feedback linearization of order 3. Namely, such an exact system transformation leads to an almost linear system where error dynamics along trajectory to be tracked is a 4-dimensional linear time-varying system having 3 time-varying entries only, the remaining entries being either zero or one. In such a way, exponentially stable tracking can be obtained by quadratically stabilizing a linear system with polytopic uncertainty. The current improvement is based on applying LMI methods to solve this problem numerically. This careful analysis significantly improves previously known approaches. Numerical simulations of Acrobot walking based on the above mentioned LMI design are demonstrated as well.

关键词： Linear matrix inequalities (LMI) underactuated mechanical systems walking robots

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