Over Constrained Systems
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Over Constrained Systems
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Author : Michael Jampel
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-07-24
Over Constrained Systems written by Michael Jampel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-07-24 with Computers categories.
This volume presents a collection of refereed papers reflecting the state of the art in the area of over-constrained systems. Besides 11 revised full papers, selected from the 24 submissions to the OCS workshop held in conjunction with the First International Conference on Principles and Practice of Constraint Programming, CP '95, held in Marseilles in September 1995, the book includes three comprehensive background papers of central importance for the workshop papers and the whole field. Also included is an introduction by one of the volume editors together with a bibliography listing 243 entries. All in all this is a very useful reference book relevant for all researchers and practitioners interested in hierarchical, partial, and over-constrained systems.
Over Constrained Systems
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Author : Michael Jampel
language : en
Publisher: Springer
Release Date : 1996-07-24
Over Constrained Systems written by Michael Jampel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-07-24 with Computers categories.
This volume presents a collection of refereed papers reflecting the state of the art in the area of over-constrained systems. Besides 11 revised full papers, selected from the 24 submissions to the OCS workshop held in conjunction with the First International Conference on Principles and Practice of Constraint Programming, CP '95, held in Marseilles in September 1995, the book includes three comprehensive background papers of central importance for the workshop papers and the whole field. Also included is an introduction by one of the volume editors together with a bibliography listing 243 entries. All in all this is a very useful reference book relevant for all researchers and practitioners interested in hierarchical, partial, and over-constrained systems.
Over Constrained Systems
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Author : Michael Jampel
language : en
Publisher: Springer
Release Date : 2014-10-08
Over Constrained Systems written by Michael Jampel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-08 with Computers categories.
This volume presents a collection of refereed papers reflecting the state of the art in the area of over-constrained systems. Besides 11 revised full papers, selected from the 24 submissions to the OCS workshop held in conjunction with the First International Conference on Principles and Practice of Constraint Programming, CP '95, held in Marseilles in September 1995, the book includes three comprehensive background papers of central importance for the workshop papers and the whole field. Also included is an introduction by one of the volume editors together with a bibliography listing 243 entries. All in all this is a very useful reference book relevant for all researchers and practitioners interested in hierarchical, partial, and over-constrained systems.
Computation In Constrained Stochastic Model Predictive Control Of Linear Systems
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Author : Minyong Shin
language : en
Publisher: Stanford University
Release Date : 2011
Computation In Constrained Stochastic Model Predictive Control Of Linear Systems written by Minyong Shin and has been published by Stanford University this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Despite its sub-optimality, Model Predictive Control (MPC) has received much attention over the recent decades due to its ability to handle constraints. In particular, stochastic MPC, which includes uncertainty in the system dynamics, is one of the most active recent research topics in MPC. In this dissertation, we focus on (1) increasing computation speed of constrained stochastic MPC of linear systems with additive noise and, (2) improving the accuracy of an approximate solution involving systems with additive and multiplicative noise. Constrained MPC for linear systems with additive noise has been successfully formulated as a semidefinite programming problem (SDP) using the Youla parameterization or innovation feedback and linear matrix inequalities. Unfortunately, this method can be prohibitively slow even for problems with moderate size state. Thus, in this thesis we develop an interior point algorithm which can more efficiently solve the problem. This algorithm converts the stochastic problem into a deterministic one using the mean and the covariance matrix as the system state and using affine feedback. A line search interior point method is then directly applied to the nonlinear deterministic optimization problem. In the process, we take advantage of a recursive structure that appears when a control problem is solved via the line search interior point method in order to decrease the algorithmic complexity of the solution. We compare the computation time and complexity of our algorithm against an SDP solver. The second part of the dissertation deals with systems with additive and multiplicative noise under probabilistic constraints. This class of systems differs from the additive noise case in that the probability distribution of a state is neither Gaussian nor known in closed form. This causes a problem when the probability constraints are dealt with. In previous studies, this problem has been tackled by approximating the state as a Gaussian random variable or by approximating the probability bound as an ellipsoid. In this dissertation, we use the Cornish-Fisher expansion to approximate the probability bounds of the constraints. Since the Cornish-Fisher expansion utilizes quantile values with the first several moments, the probabilistic constraints have the same form as those in the additive noise case when the constraints are converted to deterministic ones. This makes the procedure smooth when we apply the developed algorithm to a linear system with multiplicative noise. Moreover, we can easily extend the application of the algorithm to a linear system with additive plus multiplicative noise.
Distributed Constraint Satisfaction
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Author : Makoto Yokoo
language : en
Publisher: Springer Series on Agent Technology
Release Date : 2000-11-27
Distributed Constraint Satisfaction written by Makoto Yokoo and has been published by Springer Series on Agent Technology this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-11-27 with Business & Economics categories.
Distributed Constraint Satisfaction gives an overview of Constraint Satisfaction Problems (CSPs), adapts related search algorithms and consistency algorithms for applications to multi-agent systems, and consolidates recent research devoted to cooperation in such systems. The techniques introduced are applied to various problems in multi-agent systems. Among the new approaches is a hybrid-type algorithm for weak-commitment search combining backtracking and iterative improvement. Also, an extension of the basic CSP formalization called "Partial CSP" is introduced in order to handle over-constrained CSPs.
Constraint Theory
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Author : George Friedman
language : en
Publisher: Springer
Release Date : 2005-04-07
Constraint Theory written by George Friedman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-07 with Mathematics categories.
At first glance, this might appear to be a book on mathematics, but it is really intended for the practical engineer who wishes to gain greater control of the multidimensional mathematical models which are increasingly an important part of his environment. Another feature of the book is that it attempts to balance left- and right-brain perceptions; the author has noticed that many graph theory books are disturbingly light on actual topological pictures of their material. One thing that this book is not is a depiction of the Theory of Constraints, as defined by Eliyahu Goldratt in the 1980’s. Constraint Theory was originally defined by the author in his PhD dissertation in 1967 and subsequent papers written over the following decade. It strives to employ more of a mathematical foundation to complexity than the Theory of Constraints. This merely attempts to differentiate this book from Goldratt’s work, not demean his efforts. After all, the main body of work in the field of 1 Systems Engineering is still largely qualitative .
Stochastic Control And Filtering Over Constrained Communication Networks
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Author : Qinyuan Liu
language : en
Publisher: Springer
Release Date : 2018-10-24
Stochastic Control And Filtering Over Constrained Communication Networks written by Qinyuan Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-24 with Technology & Engineering categories.
Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds of communication constraints, including signal-to-noise constraints, bandwidth constraints, and packet drops. Several techniques are employed to develop the controllers and filters desired, including: recursive Riccati equations; matrix decomposition; optimal estimation theory; and mathematical optimization methods. Readers will benefit from the book’s new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.
Over Constrained Rigid Multibody Systems
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Author : Yong Yi
language : en
Publisher:
Release Date : 2001
Over Constrained Rigid Multibody Systems written by Yong Yi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Fault tolerance (Engineering) categories.
Handling Over Constrained Temporal Constraint Networks
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Author : Matthew Beaumont
language : en
Publisher:
Release Date : 2004
Handling Over Constrained Temporal Constraint Networks written by Matthew Beaumont and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Constraints (Artificial intelligence) categories.
Abstract: Temporal reasoning has been an active research area for over twenty years, with most work focussing on either enhancing the efficiency of current temporal reasoning algorithms or enriching the existing algebras. However, there has been little research into handling over-constrained temporal problems except to recognise that a problem is over-constrained and then to terminate. As many real-world temporal reasoning problems are inherently over-constrained, particularly in the scheduling domain, there is a significant need for approaches that can handle over-constrained situations. In this thesis, we propose two backtracking algorithms to gain partial solutions to over-constrained temporal problems. We also propose a new representation, the end-point ordering model, to allow the use of local search algorithms for temporal reasoning. Using this model we propose a constraint weighting local search algorithm as well as tabu and random-restart algorithms to gain partial solutions to over-constrained temporal problems. Specifically, the contributions of this thesis are: The introduction and empirical evaluation of two backtracking algorithms to solve over-constrained temporal problems. We provide two backtracking algorithms to close the gap in current temporal research to solve over-constrained problems; The representation of temporal constraint networks using the end-point ordering model. As current representation models are not suited for local search algorithms, we develop a new model such that local search can be applied efficiently to temporal reasoning; The development of a constraint weighting local search algorithm for under-constrained problems. As constraint weighting has proven to be efficient for solving many CSP problems, we implement a constraint weighting algorithm to solve under-constrained temporal problems; An empirical evaluation of constraint weighting local search against traditional backtracking algorithms. We compare the results of a constraint weighting algorithm with traditional backtracking approaches and find that in many cases constraint weighting has superior performance; The development of a constraint weighting local search, tabu search and random-restart local search algorithm for over-constrained temporal problems. We extend our constraint weighting algorithm to solve under-constrained temporal problems as well as implement two other popular local search algorithms: tabu search and random-restart; An empirical evaluation of all three local search algorithms against the two backtracking algorithms. We compare the results of all three local search algorithms with our twobacktracking algorithms for solving over-constrained temporal reasoning problems and find that local search proves to be considerably superior.
Steady State Optimization For Constrained Tracking In Over Actuated Linear Systems
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Author : David Orn Sigthorsson
language : en
Publisher:
Release Date : 2005
Steady State Optimization For Constrained Tracking In Over Actuated Linear Systems written by David Orn Sigthorsson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Trajectory optimization categories.
Abstract: In this thesis, we consider the tracking problem for linear over-actuated systems with an exosystem that generates the reference trajectory. The problem is split into finding a steady state controller and a stabilizing controller. This is achieved by first casting the problem into a regulator problem, which allows a clear distinction between the steady state and transient behavior. This is different from conventional methods for dealing with over-actuation such as control allocation and optimal control. By finding parameterized solutions to the Francis equations, we parameterize all steady state trajectories that render the tracking error identically zero. Choosing the parameter is then considered as an optimization problem, where we seek to minimize a given cost function. Given an exosystem that generates splines, we will mainly focus on minimizing the steady state input energy over given time intervals. Both online and offline approaches are developed, where the offline finds a constant minimizing parameter prior to each time interval and the online produces a continuous parameter that converges to the minimizer. Constrained steady state optimization methods are also considered, where constraints are applied to the steady state input. In particular, a constrained steady state optimization method is developed that constrains the input at steady state to within a given range. Finally, the methods are tried on a model of a hypersonic air-breathing vehicle.