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Subjects / keywords: functional analysis and operator theory, partial differential equations, applied mathematics, convex and geometric analysis, control and optimization; Science: Mathematics

Subjects / keywords: Science: Mathematics

1. Introduction and Preview 2. Generalized Gradients 3. Differential Inclusions 4. The Calculus of Variations 5. Optimal Control 6. Mathematical Programming 7. Topics in Analysis.

Subjects / keywords: Model predictive control; Optimal control; Control theory (sociology); Stability (learning theory); Sequence (biology); Mathematical optimization; Horizon; Nonlinear system; Control (management); Time horizon; Mathematic...

From the Publisher: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic al...

The MATLAB toolbox YALMIP is introduced. It is described how YALMIP can be used to model and solve optimization problems typically occurring in systems and control theory. In this paper, free MATLAB toolbox YALMIP, devel...

Subjects / keywords: Control theory (sociology); Separation principle; Robustness (evolution); Mathematics; LTI system theory; Robust control; Linear matrix inequality; Observer (physics); State observer; Linear system; Computer science; Mat...

Abstract A new method for non‐linear programming in general and structural optimization in particular is presented. In each step of the iterative process, a strictly convex approximating subproblem is generated and sol...

Quality Improvement in the Modern Business Environment.STAISTICAL METHODS USEFUL IN QUALITY IMPROVEMENT.Modeling Process Quality.Inferences About Process Quality.BASIC METHODS OF STATISTICAL PROCESS CONTROL AND CAPABILIT...

1. Introduction. Control System Design Steps. Adaptive Control. A Brief History. 2. Models for Dynamic Systems. Introduction. State-Space Models. Input/Output Models. Plant Parametric Models. Problems. 3. Stability. Intr...

In management contexts, mathematical programming is usually used to evaluate a collection of possible alternative courses of action en route to selecting one which is best. In this capacity, mathematical programming serv...

The particle swarm is an algorithm for finding optimal regions of complex search spaces through the interaction of individuals in a population of particles. This paper analyzes a particle's trajectory as it moves in disc...

By decision-making in a fuzzy environment is meant a decision process in which the goals and/or the constraints, but not necessarily the system under control, are fuzzy in nature. This means that the goals and/or the con...

By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve state-of-the-art synthesis results on image data and beyond. Additionally, their formulat...

Due to the safety risks and training sample inefficiency, it is often preferred to develop controllers in simulation. However, minor differences between the simulation and the real world can cause a significant sim-to-re...

A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs. A scalar measure of the efficiency of each p...

Previous article Next article An Algorithm for Least-Squares Estimation of Nonlinear ParametersDonald W. MarquardtDonald W. Marquardthttps://doi.org/10.1137/0111030PDFPDF PLUSBibTexSections ToolsAdd to favoritesExport Ci...

Subjects / keywords: control, optimisation, mathematics, applied mathematics; Science: Mathematics

Subjects / keywords: automatic control, robotics, optimization, modeling and identification, flexible manufactoring systems, information technology; Technology: Technology (General): Industrial engineering. Management engineering: Informatio...

Subjects / keywords: mathematical modeling, approximation theory, computer simulation, control theory and fuzzy theory with applications, optimization theory; Science: Mathematics

Subjects / keywords: optimal control, mathematical modeling, differential equations, dynamical systems, pdes; Science: Mathematics

Subjects / keywords: numerical analysis, modelling and simulation, discrete mathematics and combinatorics, control and optimization, applied mathematics; Science: Mathematics

Subjects / keywords: numerical analysis, ordinary and partial differential equations, optimization theory, control theory, linear and nonlinear functional analysis, classical analysis; Science: Mathematics

Subjects / keywords: control, game theory, approximation theory, optimization, mathematics, mechanics; Science: Mathematics