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International Conference on control systems and Computer Science (CSCS)

作者： C. Nitu Alexandru Dumitrascu V.F. Krapivin V.Yu. Soldatov C.A. Varotsos A.P. Cracknell Automatic Control and System Engineering Faculty of Automatic Control and Computers UPB Bucharest Romania Romania Automatic Control and System Engineering Faculty of Automatic Control and Computers UPB Bucharest Romania Faculty of Physics Department of Applied Physics Laboratory of Upper Air University of Athens Athens Greece Department of Applied Physics Laboratory of Upper Air Athens Greece Electronics Russian Academe of Sciences Kotelnokov's Institute of Radioengineering Russian Federation Department of Applied Physics and Electronic Engineering University of Dundee Dundee UK

ISBN: (纸本)9781467361408

It has been recently suggested that concrete processes occurring on the Sun (e.g. sunspots) significantly affect the tropical cyclogenesis. Despite this finding the current understanding of the processes that generate tropical cyclones is still limited. We herewith present a new complex monitoring tool for the collection and storage of relevant environmental information to solve the problem of the tropical cyclone prediction. More specifically, a three-level methodology for making decisions on the dynamical evolution of the ocean-atmosphere system is suggested. This methodology is based on a recently proposed environmental instability indicator and the use of sequential analysis process within which a stage of training is established, when all boundaries are located. Effectiveness of this methodology is assessed by examination of several examples of tropical hurricanes. More specifically, it is demonstrated how this tool can be employed to monitor the tropical hurricanes, like Katrina (2005), Irene (2011) and Isaac (2012).

关键词： Hurricanes Tropical cyclones Monitoring Meteorology Sequential analysis Algorithm design and analysis Satellites

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Educational simulators for industrial process control

Advances in Intelligent Systems and Computing

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Advances in Intelligent systems and Computing 2013年 197卷 151-163页

作者： Acebes, L.F. Merino, A. Gómez, L. Alves, R. Mazaeda, R. Acedo, J. Department of Systems Engineering and Automatic Control University of Valladolid Higher Tech. College of Industrial Engineering c/Real de Burgos s/n Valladolid47011 Spain Department of Informatics and Automatic Control Faculty of Sciences University of Salamanca Spain Madrid Spain

ISBN: (纸本)9783642343353

The paper shows a Windows© NT/XP/7 application oriented to learn control skills to process engineers. It is a dynamic simulation based tool with a friendly user interface that contains two sets of diverse process control problems (more than twenty study cases are available). It is possible to study typical control problems as cascade, ratio, selective, override and feedforward control techniques and the tuning, configuration and operation of PID controllers. Additionally, it allows analyzing complex control systems installed in boilers, furnaces, distillation columns or reactors and special industrial control techniques to ensure the process safety. In order to outline the functional features of the tool, one of the simplest modules is shown. To conclude, an overview of the methodology and software used to develop this tool is also outlined. In particular, an object oriented modeling and simulation tool is used to develop the simulation models, a self-developed SCADA is used as graphical user interface and the simulation-SCADA communications are supported by the OPC standard. Finally, it must be remarked that this tool is used successfully in an industrial master of instrumentation and process control. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Object oriented programming

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Structured coprime factorizations description of linear and time-invariant networks

Structured coprime factorizations description of linear and ...

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52nd IEEE Conference on Decision and control, CDC 2013

作者： SabǍu, Şerban OarǍ, Cristian Warnick, Sean Jadbabaie, Ali Electrical and Computer Engineering Dept. Stevens Institute of Technology United States Faculty of Automatic Control Dept. University Politehnica Bucharest Romania Faculty of Computer Science Department Information and Decision Algorithms Laboratories Brigham Young University United States Faculty of Electrical and Systems Engineering Dept. University of Pennsylvannia United States

ISBN: (纸本)9781467357173

In this paper we study state-space realizations of Linear and Time-Invariant (LTI) systems. Motivated by biochemical reaction networks, Gonçalves and Warnick have recently introduced the notion of a Dynamical Structure Functions (DSF), a particular factorization of the system's transfer function matrix that elucidates the interconnection structure in dependencies between manifest variables. We build onto this work by showing an intrinsic connection between a DSF and certain sparse left coprime factorizations. By establishing this link, we provide an interesting systems theoretic interpretation of sparsity patterns of coprime factors. In particular we show how the sparsity of these coprime factors allows for a given LTI system to be implemented as a network of LTI sub-systems. We examine possible applications in distributed control such as the design of a LTI controller that can be implemented over a network with a pre-specified topology. ©2013 IEEE.

关键词： Factorization

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Actuator-fault Detection and Isolation based on Interval Observers and Invariant Sets

Actuator-fault Detection and Isolation based on Interval Obs...

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IEEE Annual Conference on Decision and control

作者： Feng Xu Vicen? Puig Carlos Ocampo-Martinez Florin Stoican Sorin Olaru Institut de Robotica i Informatica Industrial (CSIC-UPC) Technical University of Catalonia (UPC) Llorens i Artigas 4-6 08028 Barcelona Spain Dept. of Automatic Control and Systems Engineering Faculty of Automatic Control and Computers "Politehnica" University of Bucharest 313 Spl. Independentei 060042 Bucharest Romania E3S (SUPELEC Systems Sceinces) Automatic Control Departement Gif sur Yvette France

ISBN: (纸本)9781467357159;9781467357159

This paper proposes an interval observer-based actuator fault detection and isolation (FDI) approach. An interval observer matching the healthy system mode is designed to monitor the system. When the system is in different modes, state or output interval vectors predicted by the interval observer manifest different dynamical behaviors. To guarantee reliable FDI, a collection of invariant set-based FDI conditions are established. Under these conditions, actuator faults can be accurately detected and isolated during the transition between different modes. At the end, the effectiveness of this proposed approach is presented by using a numerical example.

关键词： FDI Actuator-fault Detection Invariant Sets

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A novel adaptive spiral dynamic algorithm for global optimization

A novel adaptive spiral dynamic algorithm for global optimiz...

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UK Workshop on Computational Intelligence (UKCI)

作者： A. N. K. Nasir M. O. Tokhi O. Sayidmarie R. M. T. Raja IsmaiL Department of Automatic Control & Systems Engineering University of Sheffield Sheffield UK Faculty of Electrical and Electronics Engineering Universiti Malaysia Pahang Pahang Malaysia

This paper presents a novel adaptive spiral dynamic algorithm for global optimization. Through a spiral model, spiral dynamic algorithm has a balanced exploration and exploitation strategy. Defining suitable value for the radius and displacement in its spiral model may lead the algorithm to converge with high speed. The dynamic step size produced by the model also allows the algorithm to avoid oscillation around the optimum point. However, for high dimension problems, the algorithm may easily get trapped into local optima. This is due to the incorporation of a constant radius and displacement in the model. In order to solve the problem, a novel adaptive formulation is proposed in this paper by varying the radius and displacement of the spiral model. The proposed algorithm is validated with various dimensions of unimodal and multimodal benchmark functions. Furthermore, it is applied to parameter optimization of an autoregressive with exogenous terms dynamic model of a flexible manipulator system. Comparison with the original spiral dynamic algorithm shows that the proposed algorithm has better accuracy. Moreover, the time domain and frequency domain responses of the flexible manipulator model shows that the proposed algorithm outperforms its predecessor algorithm.

关键词： Heuristic algorithms Spirals Adaptation models Algorithm design and analysis Manipulator dynamics Convergence Benchmark testing

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On the Steady-State Inverse-Optimality of Passivity-based Cooperative control

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IFAC Proceedings Volumes 2013年第27期46卷 138-143页

作者： Mathias Bürger Daniel Zelazo Frank Allgöwer Institute for Systems Theory and Automatic Control University of Stuttgart Pfaffenwaldring 9 70550 Stuttgart Germany Faculty of Aerospace Engineering Technion - Israel Institute of Technology Haifa 32000 Israel

We consider a passivity based cooperative control problem, and show that the steady-state behavior of the networked system is intimately related to a family convex network optimization problems. This result provides a duality interpretation between the different signals in the cooperative control system. In particular, we show that the input and output signals as well as the dynamic controller state and controller output are pairs of dual variables. The presented results facilitate an optimal controller design in networked systems. We show how this novel interpretation leads the way to an optimal routing design in distribution networks.

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Constrained control for linear time-varying systems in the presence of disturbances

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IFAC Proceedings Volumes 2013年第2期46卷 923-928页

作者： H.-N. Nguyen S. Olaru P.-O. Gutman M. Hovd Faculty of Civil and Environmental Engineering Technion - Israel Institute of Technology SUPELEC Systems Sciences (E3S) - Automatic Control Department Department of Engineering Cybernetics Norwegian University of Science and Technology

The aim of this paper is twofold. In the first part, we revisit the robust invariance for ellipsoidal sets with respect to discrete-time linear time-varying and uncertain systems with bounded additive disturbances. In this context we provide an extension of the invariance condition of the previously published results in the literature. In the second part a novel robust interpolation based control method involving several local unconstrained robust optimal controls is proposed. Among them, one controller plays the role of a performance candidate, while the remaining controllers are used in the interpolation scheme for enlarging the domain of attraction. By using an appropriate objective function, recursive feasibility and a robustly asymptotically stable closed loop behavior are guaranteed.

关键词： Constrained control Interpolation Invariant set Linear matrix inequality

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Robust optimization-based control of constrained linear discrete time systems with bounded disturbances

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IFAC Proceedings Volumes 2013年第2期46卷 917-922页

作者： H.-N. Nguyen P.-O. Gutman S. Olaru M. Hovd Faculty of Civil and Environmental Engineering Technion - Israel Institute of Technology SUPELEC Systems Sciences (E3S) - Automatic Control Department Department of Engineering Cybernetics Norwegian University of Science and Technology

In this paper we consider robust control of discrete-time linear time-invariant systems affected by bounded additive disturbance inputs with state and control constraints. The method is based on an interpolation technique between several local unconstrained robust optimal controllers. At each time instant a quadratic programming (QP) problem is solved on-line. Proofs of recursive feasibility and input-to-state stability of the closed loop are provided.

关键词： Constrained control Interpolation Invariant set Input-to-state stability

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control synthesis for switched systems with control and state constraints

Control synthesis for switched systems with control and stat...

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Mediterranean Conference on control & Automation

作者： H. N. Nguyen S. Olaru P. O. Gutman Faculty of Civil and Environmental Engineering Technion - Israel Institute of Technology SUPELEC Systems Sciences (E3S) - Automatic Control Department

ISBN: (纸本)9781479909964

In this paper, a new interpolation based control is developed for constrained control of switched linear discrete-time systems. The interpolation is done between a global gain-scheduled vertex controller and a local gain-scheduled stabilizing controller in order to achieve both the large domain of attraction and performance. At each time instant a linear programming problem is solved on-line. Proofs of recursive feasibility and asymptotic stability are given.

关键词： Switched systems Standing Orders region of attraction asymptotic stability region System control linear programming Interpolation controllers synthesis

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One-step receding horizon control for LPV systems in presence of constraints

One-step receding horizon control for LPV systems in presenc...

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American control Conference

作者： H. N. Nguyen S. Olaru P. O. Gutman Faculty of Civil and Environmental Engineering Technion - Israel Institute of Technology SUPELEC Systems Sciences (E3S) - Automatic Control Department

ISBN: (纸本)9781479901777

This paper proposes a novel receding horizon based controller for LPV discrete-time systems. The main idea exploited in the proposed algorithm is to use a parameter-dependent Lyapunov function together with an interpolation based control approach. At each time instant, the solution is obtained by means of a quadratic programming algorithm. Proofs of recursive feasibility and asymptotic stability are given.

关键词： Horizon asymptotic stability region Interpolation controllers Constraint quadratic programming Liapunov function instant based Standing Orders algorithms Recursive

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