Deterministic Control Of Uncertain Linear Discrete And Sampled Data Systems
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Model Error Concepts & Compensation
| Author | : R.E. Skelton |
| Publisher | : Elsevier |
| Total Pages | : 153 |
| Release | : 2014-06-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1483298264 |
Presents a state-of-the-art review of model error concepts, their characterization and compensation in estimation and control problems, with particular emphasis on error propagation, model order selection, performance guarantees, sensitivity and adaptive methods. Main topics covered include linear and nonlinear systems, identification, robotics, computer-aided design, signal processing, computers and communication in control, automation and real time control of processes.
Essays on the Economics of Migratory Fish Stocks
| Author | : Ragnar Arnason |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 198 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642845657 |
Following the publication of seminal papers by professors H. S. Gordon in 1954 and A. D. Scott in 1955, active research has led to rapid progress in our understanding of the economics of fisheries. Fishing, however, is a complicated activity involving intricate interactions between man-made fishing capital and naturally produced fish stocks in an inherently dynamic and stochastic setting. Consequently, in spite of significant advances, important sections of fisheries economics remain largely unexplored. One such area is the economics of migratory fish stocks. In 1985, the editors of this volume embarked on a research project concerned with the optimal utilization of common Nordic fish stocks. A fundamental feature of some of the most important of these fish stocks, such as the Atlanto-Scandian herring and the Icelandic capelin, is their migratory behaviour. Not only do the migrations continuously alter the economic conditions for harvesting these species. They also result in the periodical transfer of stock concentrations from one exclusive fisheries jurisdictions to another. It was readily apparent that this behaviour constituted a crucial determinant of the appropriate harvesting pattern of these stocks. More importantly, however, migrations are by no means a unique feature of Nordic fish stocks. In fact, it appears that migratory behaviour is exhibited, albeit in varying degrees, by all species of fish. It therefore stands to reason that migrations constitute an important aspect of the economics of fisheries in general.
Advances in Optimization and Control
| Author | : Horst A. Eiselt |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 382 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 364246629X |
This conference volume is a collection of over thirty refereed contributions in the areas of optimization and control. The volume is organized into the following sections: Mathematics of Operations Research and Global Optimization Linear and Combinatorial Programming Tours, Locations and Scheduling Dynamic Programming and Game Theory Control Theory Economic Models. There is a balance between papers dealing with theoretical aspects of the field and those discussing the respective areas of application.
Advances in Discrete-Time Sliding Mode Control
| Author | : Ahmadreza Argha |
| Publisher | : CRC Press |
| Total Pages | : 315 |
| Release | : 2018-06-14 |
| Genre | : Technology & Engineering |
| ISBN | : 1351470477 |
The focus of this book is on the design of a specific control strategy using digital computers. This control strategy referred to as Sliding Mode Control (SMC), has its roots in (continuous-time) relay control. This book aims to explain recent investigations' output in the field of discrete-time sliding mode control (DSMC). The book starts by explaining a new robust LMI-based (state-feedback and observer-based output-feedback) DSMC including a new scheme for sparsely distributed control. It includes a novel event-driven control mechanism, called actuator-based event-driven scheme, using a synchronized-rate biofeedback system for heart rate regulation during cycle-ergometer. Key Features: Focuses on LMI-based SMC (sliding mode control) for uncertain discrete-time system using novel nonlinear components in the control law Makes reader understand the techniques of designing a discrete controller based on the flexible sliding functions Proposes new algorithms for sparsifying control and observer network through multi-objective optimization frameworks Discusses a framework for the design of SMC for two-dimensional systems along with analyzing the controllability of two-dimensional systems Discusses novel schemes for sparsifying the control network
Deterministic and Stochastic Time-Delay Systems
| Author | : El-Kebir Boukas |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 429 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461200776 |
Most practical processes such as chemical reactor, industrial furnace, heat exchanger, etc., are nonlinear stochastic systems, which makes their con trol in general a hard problem. Currently, there is no successful design method for this class of systems in the literature. One common alterna tive consists of linearizing the nonlinear dynamical stochastic system in the neighborhood of an operating point and then using the techniques for linear systems to design the controller. The resulting model is in general an approximation of the real behavior of a dynamical system. The inclusion of the uncertainties in the model is therefore necessary and will certainly improve the performance of the dynamical system we want to control. The control of uncertain systems has attracted a lot of researchers from the control community. This topic has in fact dominated the research effort of the control community during the last two decades, and many contributions have been reported in the literature. Some practical dynamical systems have time delay in their dynamics, which makes their control a complicated task even in the deterministic case. Recently, the class ofuncertain dynamical deterministic systems with time delay has attracted some researchers, and some interesting results have been reported in both deterministic and stochastic cases. But wecan't claim that the control problem ofthis class ofsystems is completely solved; more work must be done for this class of systems.
Deterministic Learning Theory for Identification, Recognition, and Control
| Author | : Cong Wang |
| Publisher | : CRC Press |
| Total Pages | : 207 |
| Release | : 2018-10-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1420007769 |
Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge acquisition, representation, and knowledge utilization in uncertain dynamic environments. It provides systematic design approaches for identification, recognition, and control of linear uncertain systems. Unlike many books currently available that focus on statistical principles, this book stresses learning through closed-loop neural control, effective representation and recognition of temporal patterns in a deterministic way. A Deterministic View of Learning in Dynamic Environments The authors begin with an introduction to the concepts of deterministic learning theory, followed by a discussion of the persistent excitation property of RBF networks. They describe the elements of deterministic learning, and address dynamical pattern recognition and pattern-based control processes. The results are applicable to areas such as detection and isolation of oscillation faults, ECG/EEG pattern recognition, robot learning and control, and security analysis and control of power systems. A New Model of Information Processing This book elucidates a learning theory which is developed using concepts and tools from the discipline of systems and control. Fundamental knowledge about system dynamics is obtained from dynamical processes, and is then utilized to achieve rapid recognition of dynamical patterns and pattern-based closed-loop control via the so-called internal and dynamical matching of system dynamics. This actually represents a new model of information processing, i.e. a model of dynamical parallel distributed processing (DPDP).
Robust Control for Uncertain Networked Control Systems with Random Delays
| Author | : Dan Huang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 159 |
| Release | : 2009-07-06 |
| Genre | : Technology & Engineering |
| ISBN | : 1848826788 |
"Robust Control for Uncertain Networked Control Systems with Random Delays" addresses the problem of analysis and design of networked control systems when the communication delays are varying in a random fashion. The random nature of the time delays is typical for commercially used networks, such as a DeviceNet (which is a controller area network) and Ethernet network. The main technique used in this book is based on the Lyapunov-Razumikhin method, which results in delay-dependent controllers. The existence of such controllers and fault estimators are given in terms of the solvability of bilinear matrix inequalities. Iterative algorithms are proposed to change this non-convex problem into quasi-convex optimization problems, which can be solved effectively by available mathematical tools. Finally, to demonstrate the effectiveness and advantages of the proposed design method in the book, numerical examples are given in each designed control system.
Dynamic Modelling and Control of National Economies 1989
| Author | : N.M. Christodoulakis |
| Publisher | : Elsevier |
| Total Pages | : 599 |
| Release | : 2014-06-28 |
| Genre | : Business & Economics |
| ISBN | : 1483298825 |
The Symposium aimed at analysing and solving the various problems of representation and analysis of decision making in economic systems starting from the level of the individual firm and ending up with the complexities of international policy coordination. The papers are grouped into subject areas such as game theory, control methods, international policy coordination and the applications of artificial intelligence and experts systems as a framework in economic modelling and control. The Symposium therefore provides a wide range of important information for those involved or interested in the planning of company and national economics.
