'Linear and Nonlinear Multivariable Feedback Control' Presents a Highly Original Unified Control Theory of Both Linear and Nonlinear Multivariable Feedback Systems.DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c81963) has announced the addition of "Linear and Nonlinear Multivariable Feedback Control: A Classical Approach" to their offering. Automatic feedback control systems play crucial roles in many fields, including manufacturing industries manufacturing industries npl → industrias fpl manufactureras manufacturing industries npl → industries fpl de transformation , communications, naval and space systems. At its simplest, a control system represents a feedback loop in which the difference between the ideal (input) and actual (output) signals is used to modify the behaviour of the system. Control systems are in our homes, computers, cars and toys. Basic control principles can also be found in areas such as medicine, biology and economics, where feedback mechanisms are ever present. Linear and Nonlinear Multivariable Feedback Control presents a highly original, unified control theory of both linear and nonlinear multivariable (also known as multi-input multi-output (MIMO (Multiple Input/Multiple Output) Pronounced "my-mo," it is the use of multiple transmitters and receivers (multiple antennas) on wireless devices for improved performance. )) feedback systems as a straightforward extension of classical control theory. It shows how the classical engineering methods look in the multidimensional mul·ti·di·men·sion·al adj. Of, relating to, or having several dimensions. mul ti·di·men case and how practising engineers or researchers can apply them to the
analysis and design of linear and nonlinear MIMO systems.
This comprehensive book: * uses a fresh approach, bridging the gap between classical and modern, linear and nonlinear multivariable control theories; * includes vital nonlinear topics such as limit cycle prediction and forced oscillations oscillations See Cortical oscillations. analysis on the basis of the describing function method and absolute stability analysis by means of the primary classical frequency-domain criteria (e.g. Popov, circle or parabolic par·a·bol·ic also par·a·bol·i·cal adj. 1. Of or similar to a parable. 2. Of or having the form of a parabola or paraboloid. criteria) * reinforces the main themes with practical worked examples solved by a special MATLAB-based graphical user interface graphical user interface (GUI) Computer display format that allows the user to select commands, call up files, start programs, and do other routine tasks by using a mouse to point to pictorial symbols (icons) or lists of menu choices on the screen as opposed to having to , as well as with problems, questions and exercises on an accompanying website. The approaches presented in Linear and Nonlinear Multivariable Feedback Control form an invaluable resource for graduate and undergraduate students studying multivariable feedback control as well as those studying classical or modern control theories. The book also provides a useful reference for researchers, experts and practitioners working in industry Contents: Preface Part I Linear Multivariable Control System 1 Canonical representations and stability analysis of linear MIMO systems 1.1 Introduction 1.2 General linear square MIMO systems 1.3 Uniform MIMO systems 1.4 Normal MIMO systems 1.5 Multivariable root loci loci [L.] plural of locus. loci Plural of locus, see there 2 Performance and design of linear MIMO systems 2.1 Introduction 2.2 Generalized frequency response characteristics and accuracy of linear MIMO systems under sinusoidal sinusoidal /si·nus·oi·dal/ (si?nu-soi´dal) 1. located in a sinusoid or affecting the circulation in the region of a sinusoid. 2. shaped like or pertaining to a sine wave. inputs 2.3 Dynamical accuracy of MIMO systems under slowly changing deterministic 1. (probability) deterministic - Describes a system whose time evolution can be predicted exactly. Contrast probabilistic. 2. (algorithm) deterministic - Describes an algorithm in which the correct next step depends only on the current state. signals 2.4 Statistical accuracy of linear MIMO systems 2.5 Design of linear MIMO systems Part II Nonlinear multivariable control systems 3 Study of one-frequency self-oscillation in nonlinear harmonically linearized MIMO systems 3.1 Introduction 3.2 Mathematical foundations of the harmonic linearization In mathematics and its applications, linearization refers to finding the linear approximation to a function at a given point. In the study of dynamical systems, linearization is a method for assessing the local stability of an equilibrium point of a system of nonlinear differential method for one-frequency periodical processes in nonlinear MIMO systems 3.3 One-frequency limit cycles in general MIMO systems 3.4 Limit cycles in uniform MIMO systems 3.5 Limit cycles in circulant and anticirculant MIMO systems 4 Forced oscillation Oscillation Any effect that varies in a back-and-forth or reciprocating manner. Examples of oscillation include the variations of pressure in a sound wave and the fluctuations in a mathematical function whose value repeatedly alternates above and below some and generalized frequency response characteristics of nonlinear MIMO systems 4.1 Introduction 4.2 Nonlinear general MIMO systems 4.3 Nonlinear uniform MIMO systems 4.4 Forced oscillations and frequency response characteristics along the canonical basis In mathematics, the notion of canonical basis refers to a basis of an algebraic structure which is canonical in a sense that depends on the precise context:
4.5 Design of nonlinear MIMO systems 5 Absolute stability of nonlinear MIMO systems 5.1 Introduction 5.2 Absolute stability of general and uniform MIMO systems 5.3 Absolute stability of normal MIMO systems 5.4 Off-axis circle and parabolic criteria of the absolute stability of mimo systems 5.5 Multidimensional circle criteria of absolute stability 5.6 Multidimensional circle criteria of the absolute stability of forced motions Bibliography Index For more information visit http://www.researchandmarkets.com/reports/c81963 * |
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