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Creating some links between control feedback and biology modeling communities based on similarities in modeling, observing and perceiving alive structures, and analyzing interconnections between biological structures and subsystems was the main objective of this volume. In this context, biology systems need appropriate analysis tools due to their structure and hierarchy, complexity and environment interference, and we believe that these aspects may generate interesting research topics in control area. Indeed, several works, raising the potential impact of control developments to bring some beginning of answers in the context of biological systems, have been published in the recent years. The idea of this book was conceived in the context mentioned above with the objective to help in claiming many of the problems for control researchers, starting discussions and opening interactive debates between the control and biology communities, and, finally, to alert graduate students to the many interesting ideas at the frontier between control feedback theory and biology.

Applied physical engineering --- Engineering sciences. Technology --- procesautomatisering --- systeemtheorie --- systeembeheer --- regeltechniek

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One of the most important and challenging problems in control is the derivation of systematic tools for the computation of controllers for constrained nonlinear systems that can guarantee closed-loop stability, feasibility, and optimality with respect to some performance index. This book focuses on the efficient and systematic computation of closed-form optimal controllers for the powerful class of fast-sampled constrained piecewise affine systems. These systems may exhibit rather complex behavior and are equivalent to many other hybrid system formalisms (combining continuous-valued dynamics with logic rules) reported in the literature. Furthermore, piecewise affine systems are a useful modeling tool that can capture general nonlinearities (e.g. by local approximation), constraints, saturations, switches, and other hybrid modeling phenomena. The first part of the book presents an introduction to the mathematical and control theoretical background material needed for the full understanding of the book. The second part provides an in depth look at the computational and control theoretic properties of the controllers and part three presents different analysis and post-processing techniques.

Applied physical engineering --- Engineering sciences. Technology --- procesautomatisering --- systeemtheorie --- systeembeheer --- regeltechniek

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Power quality is a pressing concern in electric power systems. One of the main requirements of power quality management is the guarantee of a sinusoidal voltage waveform with adequate amplitude at each node of the network. The fulfilment of such a control objective is facilitated by adaptive systems which can account for unpredictable fluctuations in operating conditions. Adaptive Voltage Control in Power Systems, a self-contained blend of theory and novel application, is an in-depth treatment of such adaptive control schemes. The reader moves from power-system-modelling problems through illustrations of the main adaptive control systems (self-tuning, model-reference and nonlinearities compensation) to a detailed description of design methods: Kalman filtering, parameter-identification algorithms and discrete-time controller design are all represented. Case studies address applications issues in the implementation of adaptive voltage control. Practicing engineers and researchers in power systems and control engineering will find this monograph, written by representatives of each field, to be a valuable synthesis of both while its accessible style will also appeal to graduate students. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Electrical engineering --- Applied physical engineering --- procesautomatisering --- elektrische energie --- engineering --- regeltechniek

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SinceinitiatedbyLot?A. Zadehin1965,fuzzysettheoryhastriggeredacons- erably large body of areas to blossom. A fuzzy system is, in a very broad sense, anyfuzzylogic-basedsystemwherefuzzylogiccanbeusedeither asthebasisfor the representation of di?erent forms of system knowledge or the model for the interactions and relationships among the system variables. Fuzzy systems have proven to be an important tool for modeling complex systems for which, due to complexity or imprecision, classical tools are unsuccessful. There have been diverse ?elds of applications of fuzzy technology from medicine to management, from engineering to behavioral science, from vehicle control to computational linguistics, and so on. Fuzzy modeling is a conjunction to understand the s- tem's behavior and build useful mathematical models. Di?erent types of fuzzy models have been proposed in the literature, among which the Takagi-Sugeno (T-S) fuzzy model is a rule-based one suitable for the accurate approximation and identi?cation of a wide class of nonlinear systems. There has been an - creasing amount of work on analysis and synthesis of fuzzy systems based on T-S fuzzy models. Since 2000, T-S fuzzy model approach has been extended to tackleanalysisandcontrolproblemsofnonlinear systemswith time delay. So far extensive results have been presented for investigating T-S fuzzy systems with time delay, many of which adopt an easy and popular scheme, say, linear matrix inequality (LMI) based method. However, there lacks of a monograph in this direction to provide the state-of-the-art of coverage of this new growing area.

Applied physical engineering --- Engineering sciences. Technology --- procesautomatisering --- systeemtheorie --- systeembeheer --- regeltechniek

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Thisvolumecanbeconsideredadirectoutcomeofthespecialscienti?cmeeti- in-the-fortress on Advances in ControlTheoryand Applications  organizedin Bertinoro, Italy, by the Centre of research on Complex Automated Systems (CASY), Department of Electronics Computer and Systems of the University of Bologna, during the week May 22-26, 2006. The inspiring idea of that wo- shop was to provide a forum for exchange of ideas between theory-oriented and application-oriented researchers working on various systems and control pr- lems. The meeting o?ered an opportunity for formal presentations of research resultsaswellasforinformaldiscussionsaboutideasandproblems,case-studies, limitations and potentials of existing and emerging theories. The main goal of the meeting was to facilitate cross-fertilization between di?erent theoretical and applicativeareas. Emphasiswasput onidenti?cationofnewtheoreticaldevel- mentsandresearchdirections,asneededbyrecentprogressesinapplicationsand problems which are still looking for a theoretical support and e?ective rigorous solutions. The technical programme consisted of twenty-?ve main lectures - livered by distinguished scholars and was complemented by a number of poster presentations prepared by post doctoral fellows and PhD students currently working at CASY. Out of the twenty ?ve lectures given in Bertinoro, ?fteen are reported here in written form. They are organizedas separate contributions and listed according to the alphabetic order of the ?rst author, as follows. Modeling and Control of Autonomous Helicopters by Manuel B´ ejar, Anibal Ollero, Federico Cuesta, presents an overview on the modeling and model-based control of autonomous helicopters. E?cient Quantization in the Average Consensus Problem by Ruggero Carli, Sandro Zampieri deals with the averageconsensus problem where a set of linear systemshastobe driventothesame?nalstatewhichcorrespondstothe average of their initial states.

Applied physical engineering --- Engineering sciences. Technology --- procesautomatisering --- systeemtheorie --- systeembeheer --- regeltechniek