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

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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Efficient chaos shift keying method based on the second error derivative anti-synchronization detection

Efficient chaos shift keying method based on the second erro...

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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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Iterative Learning control for wave linear repetitive processes

Iterative Learning Control for wave linear repetitive proces...

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International Workshop on Multidimensional (nD) Systems

作者： Blazej Cichy Krzysztof Galkowski Eric Rogers Anton Kummert Institute of Control and Computation Engineering University of Zielona Góra Zielona Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK Faculty of Electrical Information and Media Engineering University of Wuppertal Wuppertal Germany

Iterative learning control (ILC) is one application area for the class of 2D linear systems known as repetitive processes where recently experimental evidence to support the performance possible by this approach has been reported. In this paper, we extend the ILC approach to the class of 2D linear systems that often arise from discretization of partial differential equations and, in particular, spatio-temporal dynamics. Application of ILC scheme to a system with such dynamics adds, in effect, one extra indeterminate (the trial number) to the process description and results in the need to analyze a 3D system. The results developed in this paper are the first on ILC control law design and the performance possible is illustrated by numerical simulations.

关键词： control systems Linear systems Linear matrix inequalities Iterative methods Partial differential equations Numerical simulation Convergence Symmetric matrices Robots Manipulators

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Stability of a class of 2D linear systems with smoothing

Stability of a class of 2D linear systems with smoothing

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Blazej Cichy Krzysztof Galkowski Eric Rogers Anton Kummert Institute of Control and Computation Engineering University of Zielona Góra Gora Poland School of Electronics and Computer Science University of Southampton Southampton UK Faculty of Electrical Information and Media Engineering Communication Theory University of Wuppertal Wuppertal Germany

ISBN: (纸本)9781424427994

Repetitive processes are a distinct class of two-dimensional (2D) systems (i.e. information propagation in two independent directions occurs) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed 1D here) or (often) 2D systems theory. In this paper we begin the development a systems theory for a model of these processes necessary to represent terms which arise in some applications areas but are not included in the currently used models.

关键词： Stability Linear systems Smoothing methods control systems Iterative algorithms Communication system control Optimal control Signal processing algorithms control engineering computing RNA

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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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Fractional Order control - A Tutorial

Fractional Order Control - A Tutorial

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2009 American control Conference (ACC 2009)

作者： YangQuan Chen Ivo Petras Dingyu Xue Center for Self-Organizing and Intelligent Systems (CSOIS) Department of Electrical and Computer Engineering Utah State University 4120 Old Main Hill Logan UT 84322-4120 USA Institute of Control and Informatization of Production Processes BERG Faculty Technical University of Kosice B. Nemcovej 3 042 00 Kosice Slovak Republic Faculty of Information Sciences and Engineering Northeastern University Shenyang 110004 P R China

ISBN: (纸本)9781424445233

Many real dynamic systems are better characterized using a non-integer order dynamic model based on fractional calculus or, differentiation or integration of non-integer order. Traditional calculus is based on integer order differentiation and integration. The concept of fractional calculus has tremendous potential to change the way we see, model, and control the nature around us. Denying fractional derivatives is like saying that zero, fractional, or irrational numbers do not exist. In this paper, we offer a tutorial on fractional calculus in controls. Basic definitions of fractional calculus, fractional order dynamic systems and controls are presented first. Then, fractional order PID controllers are introduced which may make fractional order controllers ubiquitous in industry. Additionally, several typical known fractional order controllers are introduced and commented. Numerical methods for simulating fractional order systems are given in detail so that a beginner can get started quickly. Discretization techniques for fractional order operators are introduced in some details too. Both digital and analog realization methods of fractional order operators are introduced. Finally, remarks on future research efforts in fractional order control are given.

关键词： Tutorial Fractional calculus control systems Three-term control electrical equipment industry Industrial control Numerical simulation Voltage Propagation losses Transmission line theory

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Optimised conditioning technique for a priori anti-windup compensation

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Systems Science 2008年第3期34卷 67-73页

作者： Horla, Dariusz Poznań University of Technology Institute of Control and Information Engineering Faculty of Electrical Engineering ul. Piotrowo 3A 60-965 Poznań Poland

The paper presents discussion over two new optimal conditioning technique algorithms for a priori anti-windup compensation in the case of multivariable systems with amplitude- and rate-constrained control vector toget... 详细信息

关键词： Multivariable systems

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Directional change for rate-constrained systems with anti-windup compensation

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Systems Science 2008年第1期34卷 49-58页

作者： Horla, Dariusz Poznan University of Technology Institute of Control and Information Engineering Faculty of Electrical Engineering ul. Piotrowo 3A 60-965 Poznan Poland

The paper presents a problem of directional change in controls when anti-windup compensator is introduced into the control system, together with presenting connections of anti-windup compensation and avoiding changes ... 详细信息

关键词： Constrained optimization

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control of Discrete Linear Repetitive Processes with Non-causal Dynamics

Control of Discrete Linear Repetitive Processes with Non-cau...

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第二十七届中国控制会议

作者： Cichy B. Galkowski K. Rogers E. Kummert A. Institute of Control and Computation Engineering University of Zielona Gora School of Electronics and Computer Science University of Southampton Faculty of Electrical Information and Media EngineeringUniversity of Wuppertal

ISBN: (纸本)9787900719706

Repetitive processes propagate information propagation in two independent directions and are of both systems theoretic and applications *** cannot be controlled by direct extension of existing techniques from either standard(termed 1D here) or(often) 2D systems *** this paper we propose,motivated by critical features in the dynamics of some examples a model which has non-causal elements and then develop new results on the stability and control of examples which it represents.

关键词： Stability analysis,Rubust control,LMI

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Hippocampal-like categorization of obect views: A self-organizing learning approach to vision modeling using stochastic grammar inference and associative memory

Hippocampal-like categorization of obect views: A self-organ...

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13th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2008

作者： Goebel, Peter Michael Vincze, Markus Favre-Bulle, Bernard ACIN - Automation and Control Institute Faculty of Electrical Engineering and Information Technology Vienna University of Technology A-1040 Vienna Austria

ISBN: (纸本)1424415063

The categorization problem in object recognition is the assignment of semantic categories to objects or parts of objects. Here, the best categorization performance provide mammalian brain functions that motivate to partly mimic such a formation for the application to machine learning and automation. Curiosity and experimental willingness support human recognizing and detecting in relation to still unknown objects. In order to learn an understanding of the topology of such objects, objects are observed from a series of different viewpoints. This results in a collection of object views that afterward can be used by cognitive processes. State-of-the-art systems provide learning structures that are subsequently utilized for object recognition and tracking tasks. However, most of these systems aim at very specific goals in restricted domains, and therefore, it remains no room for learning and understanding of object structures. In the work of this paper, we propose a new robot vision model for neural categorization. This is close to our initial idea of mimicking mammalian brain functions for robot vision. We use the combinatorial solution of our cognitive framework with an embedding of a recently presented stochastic n-gram model, supported by a three-dimensional grammar model on a discrete three-dimensional lattice. Furthermore, we use ant colony optimization heuristics for collecting the transition probabilities of the n-gram model. The proposed solution is exemplified by applying the method to several object view series of 69 polytopes generated out of the five platonic solids by truncation;thus, generating images from 32 viewpoints each, yields an object set of 2208 images. These set is further expanded to four sets perturbed by Gaussian-noise with varying σ = {0, 0.1, 0.5, 1, 2}. Finally, we show results for selected objects and conclude with an outlook on further work. © 2008 IEEE.

关键词： Object recognition

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