Описание: Focuses on the control of continuous-time/continuous-space nonlinear systems. Using techniques that employ the max-plus algebra, this book addresses several classes of nonlinear control problems. It is useful for applied mathematicians, engineers, and graduate students interested in the control of nonlinear systems.
Описание: This textbook describes the use of neural networks and fuzzy methods for identifying and controlling nonlinear dynamical systems. It combines advanced concepts from traditional control theory with the intuitive properties of intelligent systems to solve real-world control problems.
Описание: Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear systems. This avoids the need to solve the associated Hamilton-Jacobi-Bellman equation and minimizes a cost functional, resulting in a more efficient controller. Design More Efficient Controllers for Stabilization and Trajectory Tracking of Discrete-Time Nonlinear Systems The book presents two approaches for controller synthesis: the first based on passivity theory and the second on a control Lyapunov function (CLF). The synthesized discrete-time optimal controller can be directly implemented in real-time systems. The book also proposes the use of recurrent neural networks to model discrete-time nonlinear systems. Combined with the inverse optimal control approach, such models constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Learn from Simulations and an In-Depth Case Study The authors include a variety of simulations to illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems. An in-depth case study applies the control schemes to glycemic control in patients with type 1 diabetes mellitus, to calculate the adequate insulin delivery rate required to prevent hyperglycemia and hypoglycemia levels. The discrete-time optimal and robust control techniques proposed can be used in a range of industrial applications, from aerospace and energy to biomedical and electromechanical systems. Highlighting optimal and efficient control algorithms, this is a valuable resource for researchers, engineers, and students working in nonlinear system control.
Автор: Conte Giuseppe, Moog Claude H., Perdon Anna Maria Название: Algebraic Methods for Nonlinear Control Systems ISBN: 1846285941 ISBN-13(EAN): 9781846285943 Издательство: Springer Рейтинг: Цена: 13672 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A self-contained introduction to algebraic control for nonlinear systems suitable for researchers and graduate students.The most popular treatment of control for nonlinear systems is from the viewpoint of differential geometry yet this approach proves not to be the most natural when considering problems like dynamic feedback and realization. Professors Conte, Moog and Perdon develop an alternative linear-algebraic strategy based on the use of vector spaces over suitable fields of nonlinear functions. This algebraic perspective is complementary to, and parallel in concept with, its more celebrated differential-geometric counterpart.Algebraic Methods for Nonlinear Control Systems describes a wide range of results, some of which can be derived using differential geometry but many of which cannot. They include:вЂў classical and generalized realization in the nonlinear context;вЂў accessibility and observability recast within the linear-algebraic setting;вЂў discussion and solution of basic feedback problems like input-to-output linearization, input-to-state linearization, non-interacting control and disturbance decoupling;вЂў results for dynamic and static state and output feedback.Dynamic feedback and realization are shown to be dealt with and solved much more easily within the algebraic framework.Originally published as Nonlinear Control Systems, 1-85233-151-8, this second edition has been completely revised with new text вЂ“ chapters on modeling and systems structure are expanded and that on output feedback added de novo вЂ“ examples and exercises. The book is divided into two parts: the first being devoted to the necessary methodology and the second to an exposition of applications to control problems.
Описание: While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization of relatively fast systems. It also provides research showing how generic predictive control schemes can be extended from slow process-based systems to a variety of fast systems.
Описание: This volume contains the proceedings of the Second International Workshop on Optimal Design and Control, held in Arlington, Virginia, USA, in October 1997. The workshop was a gathering of engineers and mathematicians involved in research in control and optimization.
Автор: Luenberger Название: Linear and Nonlinear Programming ISBN: 0387745025 ISBN-13(EAN): 9780387745022 Издательство: Springer Рейтинг: Цена: 10449 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This third edition of the classic textbook in Optimization has been fully revised and updated. It comprehensively covers modern theoretical insights in this crucial computing area. The book also has a new co-author, who has written extra material including some on Interior Point Methods.
Описание: Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization; but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners — including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers — are interested in solving large-scale MINLP instances.
Описание: Modern aerospace, automotive, nautical, industrial, microsystem-assembly and robotic systems are becoming more and more complex. High-performance vehicles no longer have built-in error safety margins, but are inherently unstable by design to allow for more flexible maneuvering options. With the push towards better performance in terms of greater accuracy and faster speed of response, control demands are increasing. The combination of highly nonlinear dynamics, relaxed static stability, and tight performance specifications places increasing demands on the design of feedback systems for control. Current control system design techniques have difficulty in meeting these demands.
Описание: Algebraic Identification and Estimation Methods in Feedback Control Systems presents a model-based algebraic approach to online parameter and state estimation in uncertain dynamic feedback control systems.
Описание: From the contents: A Differential-Geometric Approach for BernsteinвЂ™s Degrees-of-Freedom Problem.- Nonsmooth Riemannian Optimization with Applications to Sphere Packing and Grasping.- Synchronization of Networked Lagrangian Systems.- An Algorithm to Discretize One-Dimensional Distributed Port Hamiltonian Systems.- Virtual Lagrangian Construction Method for Infinitedimensional Systems with Homotopy Operators.- Direct Discrete-Time Design for Sampled-Data Hamiltonian Control Systems.- Kinematic Compensation in Port-Hamiltonian Telemanipulation.- Interconnection and Damping Assignment Passivity-Based Control of a Four-Tank System.- Towards Power-based Control Strategies for a Class of Nonlinear Mechanical Systems.- Power Shaping Control of Nonlinear Systems: A Benchmark Example.- Total Energy Shaping Control of Mechanical Systems: Simplifying the Matching Equations via Coordinate Changes.- Simultaneous Interconnection and Damping Assignment PassivityвЂ“Based Control: Two Practical Examples.
Описание: This is quite possibly the first book on practical methods that combines nonlinear optimization, mathematical control theory, and numerical solution of ordinary differential or differential-algebraic equations to successfully solve optimal control problems. The focus of the book is on practical methods, i.e., methods that the author has found to actually work. Everything described in the book has been implemented in production software and used to solve real problems.
The author's general discussion of the topic maintains a focused and concise presentation. Using modern computational methods based on nonlinear programming algorithms, he introduces the basic material necessary to solve an optimal control problem. There are two major parts of a successful optimal control solution technique. The first part is the optimization method. The second part is the differential equation method. Betts's goal is to suggest that methods used to solve differential equations and optimize the functions are intimately related.
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