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检索条件"任意字段=IEEE International Symposium on Computer Aided Control System Design, CACSD 2002"

共 2137 条记录，以下是181-190 订阅

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Structured spatial control of the reaction-diffusion equation with parametric uncertainties

Structured spatial control of the reaction-diffusion equatio...

引用

ieee international symposium on computer aided control system design (cacsd)

作者： Masako Kishida Richard D. Braatz University of Illinois Urbana-Champaign USA

Feedback control problems for distributed parameter systems arise in a variety of physical, chemical, biological, and mechanical systems. This paper exploits the algebraic structure of the system of ordinary differential equations that arise from spatial discretization of the partial differential equation (PDE) to analyze and design feedback controllers that are robust to bounded perturbations in the parameters of the original PDE. As a prototypical problem, this paper investigates the spatial field control of a reaction-diffusion system whose spatial discretization has a state matrix that is circulant symmetric. Structured robust controllers are designed based on internal model control and mixed sensitivity optimization. The controllers are shown to be robust to inaccuracies in the spatial manipulation, even for arbitrarily fine spatial discretizations.

关键词： Uncertainty Robustness Transfer functions Process control Tuning Symmetric matrices Eigenvalues and eigenfunctions

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A new approach to tune the two-degree-of-freedom (2DOF)

A new approach to tune the two-degree-of-freedom (2DOF)

引用

ieee international symposium on computer aided control system design (cacsd)

作者： Hosein Nemati Peyman Bagheri Malek Ashtar University of Tehran Iran Department of Electrical and Computer Engineering K.N. Toosi University of Technology Tehran Iran

This paper proposes a new tuning method for PI controllers in two-degree-of-freedom (2DOF) structure. In design approach, first order plus dead time (FOPDT) model is used. The aim is to have good set-point response and disturbance rejection and also maximum robustness to model uncertainties. The tuning strategy is based on using Butterworth rules and genetic algorithm optimization. Simulation results demonstrate the effectiveness and validity of proposed method in coping with conflicting design objectives for a wide variety of processes including minimum phase and non-minimum phase and also integrating processes.

关键词： Tuning Robustness Transfer functions Process control Sensitivity Uncertainty control systems

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An iterative approach to the robust H∞ synthesis problem with a sequence of infeasible controllers

An iterative approach to the robust H∞ synthesis problem wi...

引用

ieee international symposium on computer aided control system design (cacsd)

作者： Yasushi Kami Eitaku Nobuyama Department of Electrical and Computer Engineering Akashi National College of Technology Hyogo Japan Department of Systems Design and Informatics Kyushu Institute of Technology Fukuoka Japan

This paper aims to design a robust H ∞ control system against time invariant polytopic uncertainties. In general, such robust control problems are described by parameter dependent bilinear matrix inequality (PDBMI) problems which are not tractable numerically and there are few efficient methods for solving them. In this paper, we propose an iterative approach to the robust H ∞ controller synthesis problems, which constructs a sequence of infeasible controllers. The feature of our approach is to be able to use any controller variables which may not be a robust stabilizing controller as an initial point. The efficiency of our approach is shown by a numerical example.

关键词： Robustness Iterative methods Lyapunov method Linear matrix inequalities Symmetric matrices Eigenvalues and eigenfunctions control systems

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Dynamics-based extraction of information sparsely encoded in high dimensional data streams

Dynamics-based extraction of information sparsely encoded in...

引用

ieee international symposium on computer aided control system design (cacsd)

作者： Mario Sznaier Octavia Camps Electrical and Computer Engineering Department Northeastern University Boston MA USA

A major roadblock in taking full advantage of the recent exponential growth in data collection and actuation capabilities stems from the curse of dimensionality. Simply put, existing techniques are ill-equipped to deal with the resulting volume of data. The goal of this paper is to show how the use of simple dynamical systems concepts can lead to tractable, computationally efficient algorithms for extracting information sparsely encoded in extremely large data sets. In addition, as shown here, this approach leads to non-entropic information measures, better suited than the classical, entropy-based information theoretic measure, to problems where the information is by nature dynamic.

关键词： Manifolds Correlation Dynamics Three dimensional displays Motion segmentation Complexity theory Data models

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A computer simulation of the influence of GGI and inertial sensors on gravity gradient aided navigation

A computer simulation of the influence of GGI and inertial s...

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3rd international symposium on systems and control in Aeronautics and Astronautics, ISSCAA2010

作者： Liu, Fanming Qian, Dong Zhang, Yingfa Li, Yan College of Automation Harbin Engineering University Harbin 150001 China

ISBN: (纸本)9781424460441

In order to investigate the influence of gravity gradiometer instrument (GGI), gyroscope, and accelerator on navigation precision, simulation program of gravity gradient aided inertial navigation system is established in this paper. The detailed mathematical model of gravity gradient aided navigation system is given. Simulation results under Matlab environment prove that remarkably promotion of navigation precision can be obtained by using five independent gravity gradient tensors into the integrated system. Meanwhile, it also shows that both the gradiometer accuracy and the matching map resolution has large influence on navigation precision, while the gyroscope and accelerator accuracy make a minor one by comparison. These conclusions indicate that gravity gradient aided inertial navigation has a lower demand on inertial sensors, which is helpful to reduce the design cost of inertial navigation system. ©2010 ieee.

关键词： Inertial navigation systems

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design and implementation of model predictive control using Multi-Parametric Toolbox and YALMIP

Design and implementation of model predictive control using ...

引用

ieee international symposium on computer aided control system design (cacsd)

作者： Michal Kvasnica Miroslav Fikar Institute of Information Engineering Automation and Mathematics Faculty of Chemical and Food Technology Slovak University of Technology Slovakia

The paper introduces a new version of the Multi-Parametric Toolbox (MPT), which allows model predictive control (MPC) problems to be formulated in an intuitive and user-friendly fashion. In addition to control synthesis, the toolbox can also be employed for stability analysis, verification and simulation of MPC-based strategies. The toolbox is also capable of converting MPC controllers into real-time executable code which can be easily deployed to typical hardware control platforms. The most notable feature of the new version is its ability to formulate and solve complex MPC problems involving non-trivial requirements, like logic relations, move blocking, or contraction constraints.

关键词： Optimization Predictive models Mathematical model Table lookup Optimal control Real time systems control design

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Solving complex optimal control problems at no cost with PSOPT

Solving complex optimal control problems at no cost with PSO...

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ieee international symposium on computer aided control system design (cacsd)

作者： Victor M. Becerra School of Systems Engineering University of Reading Reading UK

This paper introduces PSOPT, an open source optimal control solver written in C++. PSOPT uses pseudospectral and local discretizations, sparse nonlinear programming, automatic differentiation, and it incorporates automatic scaling and mesh refinement facilities. The software is able to solve complex optimal control problems including multiple phases, delayed differential equations, nonlinear path constraints, interior point constraints, integral constraints, and free initial and/or final times. The software does not require any non-free platform to run, not even the operating system, as it is able to run under Linux. Additionally, the software generates plots as well as LATEX code so that its results can easily be included in publications. An illustrative example is provided.

关键词： Chebyshev approximation Optimal control Software Differential equations Polynomials Interpolation

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An approximate Pareto strategy design for weakly coupled large scale discrete-time systems with state- and control-dependent noise

An approximate Pareto strategy design for weakly coupled lar...

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ieee international symposium on computer aided control system design (cacsd)

作者： Hiroaki Mukaidani Hua Xu Graduate School of Education Hiroshima University Higashihiroshima Japan Graduate School of Business Sciences University of Tsukuba Bunkyo Tokyo Japan

In this paper, we discuss a Pareto strategy implemented via local state feedback for a class of weakly coupled large-scale linear time-invariant (LTI) discrete-time stochastic systems with state- and control-dependent noise. The asymptotic structure along with the uniqueness and positive semidefiniteness of the solutions of cross-coupled stochastic algebraic Riccati equations (CSAREs) is newly established via the Newton-Kantorovich theorem. The main contribution of this study is the proposal of a parameter-independent local state feedback Pareto strategy. Finally, in order to demonstrate the effectiveness of the proposed design method, a numerical example is provided for practical aircraft control problems.

关键词： Stochastic systems State feedback Noise Stochastic processes Marketing and sales Riccati equations

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designing nonpolynomial controllers for polynomial systems with input constraints using convex optimization and passivity

Designing nonpolynomial controllers for polynomial systems w...

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ieee international symposium on computer aided control system design (cacsd)

作者： Thomas Gußner Jürgen Adamy Institute of Automatic Control Control Theory and Robotics Laboratory Technische Universität Darmstadt Darmstadt Germany

In this paper, a computational approach for controller design for polynomial systems with input constraints is proposed. The design is formulated as a convex optimization problem and capable of dealing with asymmetric input constraints. The idea of the method is to combine the recently introduced notion of virtual inputs and the notion of feedback passivity to obtain an optimization problem with polynomial constraints. The optimization problem is relaxed using the method of sum of squares which finally results in an LMI problem. The resulting state feedback controllers are non-polynomial. The approach contains some conservatism arising when formulating the design as a convex optimization problem. The introduction of slack variables and a postprocessing step reduces this conservatism. The applicability of the method is demonstrated by a controller design for a jet engine compressor.

关键词： Polynomials Optimization Closed loop systems Stability analysis Lyapunov method State feedback

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Improvement of estimation accuracy in parameter optimization by symbolic computation

Improvement of estimation accuracy in parameter optimization...

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ieee international symposium on computer aided control system design (cacsd)

作者： Masahiko Nakatsui Katsuhisa Horimoto National Institute for Advanced Industrial Science and Technology Koto Tokyo Japan

We evaluate the ability of our parameter optimization method that was newly developed by using differential elimination, to estimate kinetic parameter values with a high degree of accuracy. For this purpose, we performed a simulation study by using the objective function with and without the new constraints by differential elimination: parameters in a model of linear equations, under the assumption that only one molecule in the model can be monitored with and without the noise, was estimated by using genetic algorithm (GA). In particular, the ability was tested for the simulation data with and without noise. As a result, the introduction of new constraints was dramatically effective: the GA with new constraints could estimate successfully parameter values in the simulated model against the noisy data, with high degree of accuracy, in comparison with the degree by conventional GA without the constraints.

关键词： Mathematical model Optimization Noise Computational modeling Monitoring Differential equations Biological system modeling

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