The aim of this book is to propose a new approach to analysis and control of linear time-varying systems. These systems are defined in an intrinsic way, i.e., not by a particular representation (e.g., a transfer matri...
详细信息
ISBN:
(数字)9783642197277
ISBN:
(纸本)9783642197260
The aim of this book is to propose a new approach to analysis and control of linear time-varying systems. These systems are defined in an intrinsic way, i.e., not by a particular representation (e.g., a transfer matrix or a state-space form) but as they are actually. The system equations, derived, e.g., from the laws of physics, are gathered to form an intrinsic mathematical object, namely a finitely presented module over a ring of operators. This is strongly connected with the engineering point of view, according to which a system is not a specific set of equations but an object of the material world which can be described by equivalent sets of equations. This viewpoint makes it possible to formulate and solve efficiently several key problems of the theory of control in the case of linear time-varying systems. The solutions are based on algebraic *** book, written for engineers, is also useful for mathematicians since it shows how algebraic analysis can be applied to solve engineering *** Bourls is a Professor and holds the industrial automation chair at the Conservatoire national des arts et mtiers in France. He has been teaching automation for over 20 years in engineering and graduate *** Marinescu is currently research engineer at the French Transmission System Operator (RTE) and Associate Professor at SATIE-Ecole Normale Suprieure de Cachan.
Safe Adaptive control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing. The possibility of having an...
详细信息
ISBN:
(数字)9781849964531
ISBN:
(纸本)9781849964524;9781849964531
Safe Adaptive control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one of the available candidate controllers is stabilizing. The possibility of having an unstable switched system even in the presence of a stabilizing candidate controller is demonstrated by referring to several well-known adaptive control approaches, where the system goes unstable when a large mismatch between the unknown plant and the available models exists ("plant-model mismatch instability"). Sufficient conditions for this possibility to be avoided are formulated, and a "recipe" to be followed by the control system designer to guarantee stability and desired performance is provided. The problem is placed in a standard optimization setting. Unlike the finite controller sets considered elsewhere, the candidate controller set is allowed to be continuously parametrized so that it can deal with plants with a very large range of uncertainties.
There has been a recent surge in research activities related to networked control of large-scale systems. These "cyber-physical" systems can be found throughout society, from industrial production plants, to...
ISBN:
(数字)9780857290335
ISBN:
(纸本)9780857290328
There has been a recent surge in research activities related to networked control of large-scale systems. These "cyber-physical" systems can be found throughout society, from industrial production plants, to water and energy distribution networks and transportation systems. They are characterized by tight coordination of a pervasive sensing infrastructure, distributed computing elements, and the physical world. Developed from work presented at the 3rd WIDE PhD School on Networked control Systems held in Siena in July 2009, Networked control Systems contains tutorial introductions to key research topics in the area of networked control. Classroom pdf slides used in the PhD school presentations can be downloaded from ***/ISBN to assist academic teachers in using the material with their own classes. The contributing authors are renowned experts in the field so that the book provides a single point of entry to a diverse and exiting research area. PhD students and researchers in control and industrial communications, as well as practitioners in the area of large-scale control systems will find the contents of this volume highly informative.
The text of Visual Servoing via Advanced Numerical Methods has its roots in an invited session presented at the IEEE International Conference on Robotics and Automation at Kobe in May 2009. The work presented here has...
ISBN:
(数字)9781849960892
ISBN:
(纸本)9781849960885
The text of Visual Servoing via Advanced Numerical Methods has its roots in an invited session presented at the IEEE International Conference on Robotics and Automation at Kobe in May 2009. The work presented here has been much expanded and gives a comprehensive overview of the state of the art in this important area of robotics. The latest contributions from well-known experts in visual servoing provide the reader with solutions to the fundamental and specific problems that have to be solved in using camera-derived feedback to control robotic motion and make it imitative of the actions of human beings. These solutions are based on dedicated numerical methods the development of which has been facilitated by recent progress in video devices, computer hardware and optimisation techniques. The book is organised into three parts reflecting: the uses of image processing and computer vision; estimation and path-planning techniques; and control design methods for visual servoing.
This note deals with linear operators preserving the set of positive (nonnegative) polynomials. Numerous works of prominent mathematicians in fact contain the exhaustive description of linear operators preserving the ...
详细信息
ISBN:
(纸本)9783642028939
This note deals with linear operators preserving the set of positive (nonnegative) polynomials. Numerous works of prominent mathematicians in fact contain the exhaustive description of linear operators preserving the set of positive (nonnegative) polynomials. In spite of this, since this description was not formulated explicitly, it is almost lost for possible applications. In the paper we formulate and prove these classical results and give some applications. For example, we prove that there are no linear ordinary differential operators of order in E W with polynomial coefficients which map the set of nonnegative (positive) polynomials of degree <= ([m/2] + 1) into the set of nonnegative polynomials. This result is a generalization of a Theorem by Guterman and Shapiro.
We present a problem in the stability of switched positive systems that arises in network topology control. Preliminary results are given that guarantee stability of a network topology control problem under certain as...
详细信息
ISBN:
(纸本)9783642028939
We present a problem in the stability of switched positive systems that arises in network topology control. Preliminary results are given that guarantee stability of a network topology control problem under certain assumptions. Roughly speaking, these assumptions reduce the underlying stability problem to a nonlinear consensus problem with a driving term, that eventually becomes a Lur'e problem. Simulation results are given to illustrate our algorithm. While these results indicate that our assumptions can be removed, a proof of the general stability problem remains open.
Time series novelty or anomaly detection refers to automatic identification of novel or abnormal events embedded in normal time series points. In the case of water demand, these anomalies may be originated by external...
详细信息
ISBN:
(纸本)9783642028939
Time series novelty or anomaly detection refers to automatic identification of novel or abnormal events embedded in normal time series points. In the case of water demand, these anomalies may be originated by external influences (such as climate factors, for example) or by internal causes (had telemetry lectures, pipe bursts, etc.). This paper will focus on the development of markers of different possible types of anomalies in water demand time series. The goal is to obtain early warning methods to identify, prevent, and mitigate likely damages in the water supply network, and to improve the current prediction model through adaptive processes. Besides, these methods may he used to explain the effects of different dys-functions of the water network elements and to identify zones especially sensitive to leakage and other problematic areas, with the aim to include them in reliability plans. In this paper, we use a classical Support Vector Machine (SVM) algorithm to discriminate between nominal and anomalous data. SVM algorithms for classification project low-dimensional training data into a higher dimensional feature space, where data separation is easier. Next, we adapt a causal learning algorithm, based on the reproduction of kernel Hilbert spaces (RKHS), to look for possible causes of the detected anomalies. This last algorithm and the SVM's projection are achieved by using kernel functions, which are necessarily symmetric and positive definite functions.
暂无评论