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The combination of fast, low-latency networks and high-performance, distributed tools for mathematical software has resulted in widespread, affordable scientific computing facilities.
By combining results on robust control and saturating control, this book attempts to provide positive help for practical situations and, as one of the first books to merge the two control fields, it should generate considerable interest in scientific/acad emic circles.
Robotic systems have proved themselves to be of increasing importance and are widely adopted to substitute for humans in repetitive or hazardous situations. Complex robotic systems - ie robotic systems with a complex structure and architecture - are gaining increasing attention from both the academic community and industrial users.
Finite-time stability (FTS) is a more practical concept than classical Lyapunov stability, useful for checking whether the state trajectories of a system remain within pre-specified bounds over a finite time interval.
Papers from a Conference Held in Paris, March 21-22, 1984
A new approach to decoupled control of large-scale nonlinear systems is applied to dynamic flight control. In the book a particular choice of subsystems is proposed in a case of flight control, and the local and global control synthesis is presented. Extensive simulations of flight control with different control laws are also presented.
This was the second in a series of international symposia designed to circulate every two years around North America, Europe, and Asia. The editors have divided the text into ten sections with a synopsis by the editors, and containing four papers each.
Simultaneous Stabilization of Linear Systems is devoted to a single question from Linear Systems Theory: "When is it possible to find a controller that stabilizes a finite family of systems?", known as the Simultaneous Stabilization Question.
This book is a collection of work arising from a NSF/ AFOSR sponsored workshop held at the University of California, Santa Barbara, 18-20th June 1992. Twelve keynote essays give an overview of the field and speculate on future directions and nineteen technical papers delineate the state of the art in the field.
The theory of the operation of many modern man-made discrete event systems such as manufacturing systems, computer and communications networks largely belongs in the domain of queuing theory and operations research.
A fundamental problem in control theory is concerned with the stability of a given linear system. Robust Stability and Convexity addresses stability problems for linear systems with parametric uncertainty. Stability results as well as stability criteria for time-delay systems with uncertainties in coefficients and delays are reported.
Conference on Optimal Control of Systems
In deterministic identification the identified system is determined on the basis of a complexity measure of models and a misfit measure of models with respect to data. For the case of exact modelling a procedure is presented which is inspired by objectives of simplicity and corroboration.
This monograph reports the development of an approach to computer-aided control system design (CACSD). The designer is suggested to treat a CACSD problem as a search problem, in which he and the computer cooperate to locate satisfactory designs among sets of candidates.
This monograph considers stochastic models for laser propagation in atmospheric turbulence in a Hilbert space context. This monograph applied the Hilbert space valued white noise theory to the laser distortion problem and relates it to the Wiener process formulation.
This volume contains the proceedings of a conference on optimal control and partial differential equation mechanics, designed specifically for researchers and engineers working in these fields.
Topics covered include: hybrid dynamical systems, control of hard-bound constrained and nonlinear systems, automotive problems involving switching control and system control in the face of large-scale modeling errors.
This is the fourth of the biennial Experimental Robotics symposia which are designed to bring together, in a small group setting, researchers from around the world who are at the forefront of experimental robotics research.
Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume will be of benefit to practicing control engineers and to graduate students taking courses in optimization, control theory or statistics.
Control architectures are considered according to increasing degrees of cooperation of local controllers: fully distributed or decentralized control, control with communication between controllers, coordination control, and multilevel control.
Information and Control in Networks demonstrates the way in which system dynamics and information flows intertwine as they evolve, and the central role played by information in the control of complex networked systems.
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