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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Jianhua Liu M. Simon P. Stoica Jian Li Department of Electrical and Computer Engineering University of Florida Gainesville FL USA Jet Propulsion Laboratory Pasadena CA USA Department of Systems and Control University of Uppsala Uppsala Sweden

We consider the problem of soft-detection for communication systems employing double differential modulation and forward error correction codes, for example, a convolutional code. We propose a soft-detector (based on the multiple symbol heuristic detector) with low computational complexity. Simulation results are provided to show the superior performance of the new soft-detector.

关键词： Decoding Convolutional codes Detectors Modulation coding Forward error correction Computational complexity Computational modeling Propulsion Laboratories Communication system control

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Optimizing the structure of hierarchical mixture of experts using genetic algorithms

Optimizing the structure of hierarchical mixture of experts ...

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International IEEE Conference on Intelligent systems, IS

作者： D.A. Karras C.E. Vlitakis Y.S. Boutalis B.G. Mertzios Chalkis Institute of Technology Department Automation and Hellenic Open University Athens Greece Department Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Department of Automation Thessdoniki Institute of Technology Laboratory of Automatic Control Systems Thessaloniki Hellas and Democritus University Xanthi Greece

This study is an effort to give a practical solution in the problem of optimizing the structure of the hierarchical mixture of experts model, which is a natural extension of the associative Gaussian mixture of experts system. We present two novel methods for optimizing such structures using genetic algorithms. Special concern is taken for reducing the computational time so as to efficiently allow the structure to "grow" while it evolves with the genetic algorithm. The main contribution of the paper lies on the efficient, topologically oriented, representations of such architectures so as to be optimized through involving genetic algorithms.

关键词： Genetic algorithms Biological cells Optimization methods Neural networks Classification tree analysis Automation Decision trees Expert systems computer architecture Supervised learning

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Unified, periodic & sampled data H/sub /spl infin// control using the delta operator

Unified, periodic & sampled data H/sub /spl infin// control ...

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IEEE Conference on Decision and control

作者： B. Lennartson R. Middleton A.-K. Christiansson Control and Automation Laboratory Department of Signals and Systems Chalmers University of Technology Goteborg Sweden Complex Dynamic Systems & Control School of Electrical Engineering & Computer Science University of Newcastle Callaghan NSW Australia University of Trollhättan/Uddevalla Trollhattan Sweden

A unified and general framework is presented for H/sub /spl infin// control of mixed continuous-time and discrete-time time-varying (periodic) systems. Using the delta operator, a close relationship is shown between the continuous- and discrete-time solutions. No assumptions are made on certain system matrices being zero or normalized, which makes the approach general and easy to apply. A combined continuous/discrete-time lifting procedure is shown to be useful, especially for ill-conditioned systems. This procedure together with the delta formalism results in a numerically robust design method concerning both short and long sampling periods for systems with W-conditioned dynamics, including widely spread eigenvalues.

关键词： control systems Sampling methods Riccati equations automatic control Robustness Design methodology Eigenvalues and eigenfunctions Differential equations Automation Laboratories

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Petri net-based design of modular supervisors for remotely human control systems

Petri net-based design of modular supervisors for remotely h...

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SICE Annual Conference

作者： Jin-Shyan Lee Meng-Chu Zhou Pau-Lo Hsu Department of Electrical & Control Engineering National Chiao Tung University Hsinchu Taiwan Department of Electrical & Computer Engineering New Jersey Institute of Technology Newark NJ USA Laboratory of Complex Systems & Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)4907764227

In an Internet-based control system, particular human operations may violate desired requirements and lead to destructive failure. For such human-in-the-loop systems, this paper extends the remote supervisory scheme by Lee and Hsu (2003) to a modular one so as to reduce the supervisor synthesis complexity. Also, remote human issued commands are guaranteed to meet required specifications. A rapid thermal process in semiconductor manufacturing systems is provided to show the practicability of the proposed approach.

关键词： Humans control systems Supervisory control automatic control Internet control system synthesis Rapid thermal processing Error correction control engineering Intelligent systems

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Low order sampled data H/sub /spl infin// control using the delta operator and LMIs

Low order sampled data H/sub /spl infin// control using the ...

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IEEE Conference on Decision and control

作者： B. Lennartson R. Middleton A.-K. Christiansson T. McKelvey Control and Automation Laboratory Department of Signals and Systems Chalmers University of Technology Goteborg Sweden Complex Dynamic Systems & Control School of Electrical Engineering & Computer Science University of Newcastle Callaghan NSW Australia University of Trollhättan/Uddevalla Trollhattan Sweden Department of Signals and Systems Chalmers University of Technology Goteborg Sweden

A procedure for H/sub /spl infin// optimization of low order controllers for discrete-time and sampled-data systems is presented in this paper. Generally, low order H/sub /spl infin// controllers may be achieved by solving bilinear matrix inequalities (BMIs). In this paper an iterative alternation between two LMIs gives a suboptimal solution. To avoid local minima in this search the initial controller is obtained by a frequency weighted controller reduction scheme, where the closed loop properties of a full order controller is taken into account. A minimal number of parameters in the state space realization of the controller also reduces the complexity and improves numerical robustness. The complete presentation is based on delta operator models, which shows a close relationship between the continuous- and discrete-time solutions. The sensitivity of the ordinary discrete-time shift operator LMI formulation to small sampling periods is also analyzed.

关键词： control systems Linear matrix inequalities Sampling methods automatic control Frequency Weight control Robust control Signal processing State-space methods Robustness

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Experimental evaluation of a new repetitive control algorithm on a non-minimum phase spring-mass-damper system

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IFAC Proceedings Volumes 2004年第12期37卷 681-686页

作者： C.T. Freeman J.J. Hätönen P.L. Lewin D.H. Owens E. Rogers School of Electronics and Computer Science University of Southampton University Road Southampton SO17 1BJ United Kingdom Fax: +44(0)2380 593709 Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom Systems Engineering Laboratory The University of Oulu P.O. BOX 4300 FIN-90014 University of Oulu Finland

Recently, a novel optimality based Repetitive control algorithm was proposed in (Hätönen et al. , 2003). According to the convergence analysis carried out in that paper, the algorithm will result in asymptotic convergence for an arbitrary discrete-time LTI plant and a T -periodic reference. However, the performance of the algorithm was tested only using simulation studies. In order to rigorously test how the algorithm performs with real systems, in this paper the algorithm is implemented on a non-minimum phase spring-mass-damper system. The results are very satisfactory, because the algorithm results in near perfect tracking with this rather demanding plant type.

关键词： Repetitive control Optimal control Polynomial systems Theory Non-Minimum Phase systems

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Practical implementation of a model inverse optimal iterative learning controller

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IFAC Proceedings Volumes 2004年第12期37卷 687-692页

作者： J.D. Ratcliffe T.J. Harte J.J. Hätönen P.L. Lewin E. Rogers D.H. Owens School of Electronics and Computer Science University of Southampton University Road Southampton SO17 1BJ United Kingdom Fax: +44 (0)23 8059 3709 Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom Systems Engineering Laboratory The University of Oulu P.O. BOX 4300 FIN-90014 University of Oulu Finland

In this paper, a new model inverse optimal iterative learning control algorithm is practically implemented on an industrial gantry robot. The algorithm has only one tuning parameter which can be adjusted to provide a balance between convergence speed and robustness. Results show that the algorithm is capable of learning the required trajectory in very few iterations. However at this convergence rate the lack of robustness is a major issue. Appropriate use of the tuning parameter is shown to greatly increase the algorithm robustness as demonstrated by tests which successfully reach 600 iterations.

关键词： Learning control Iterative methods Optimal control

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Database technology and industrial transaction techniques in control education 6

Database technology and industrial transaction techniques in...

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6th IFAC Symposium on Advances in control Education, ACE 2003

作者： Flochova, Jana Galbavy, Miroslav Department of Automatic Control Systems Department of Computer Science Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovicova 3 Bratislava81219 Slovakia

New developments in computer networks and communications provide new possibilities for control purposes. control systems for highly complex plants are themselves very complex and heterogeneous. A new software infrastructure is needed that exploits these new emerging software technologies. An essential activity to be pursued is that of education and of including new technology in control education. The aim of this paper is to describe some of our activities and experiences in teaching of information techniques and technologies included in open control platforms of complex control systems. Copyright © IFAC Advances in control Education Oulu, Finland, 2003

关键词： Information management

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Randomized algorithms for semi-infinite programming problems

Randomized algorithms for semi-infinite programming problems

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2003 European control Conference, ECC 2003

作者： Tadić, Vladislav B. Meyn, Sean P. Tempo, Roberto Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Department of Electrical and Computer Engineering University of Illinois Urbana-ChampaignIL61801 United States IEIIT-CNR Politecnico di Torino Torino10129 Italy

ISBN: (纸本)9783952417379

In this paper, we explore the possibility of applying Monte Carlo methods (i.e., randomization) to semi-infinite programming problems. Equivalent stochastic optimization problems are derived for a general class of semi-infinite programming problems. For the equivalent stochastic optimization problems, algorithms based on stochastic approximation and Monte Carlo sampling methods are proposed. The asymptotic behavior of the proposed algorithms is analyzed and sufficient conditions for their almost sure convergence are obtained. © 2003 EUCA.

关键词： Monte Carlo methods

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Optimal tuning of PID controllers for first order plus time delay models using dimensional analysis

Optimal tuning of PID controllers for first order plus time ...

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Fourth International Conference on control and Automation

作者： Tavakoli, Saeed Tavakoli, Mahdi Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom Department of Electrical and Computer Engineering University of Western Ontario London Ont. N6A 5B9 Canada

ISBN: (纸本)078037777X

Using dimensional analysis and numerical optimisation techniques, an optimal method for tuning PID controllers for first order plus time delay systems is presented. Considering integral square error (ISE), integral absolute error (IAE) and integral time absolute error (ITAE) performance criteria, optimal equations for obtaining PID parameters are proposed. Simulation results show that the proposed method has a considerable superiority over conventional techniques. In addition, the closed loop system shows a robust performance in the face of model parameters uncertainty. © 2003 IEEE.

关键词： Three term control systems

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