The Concise Encyclopedia of Modelling & Simulation contains 172 alphabetically arranged articles describing the modelling and simulation of physical systems. The emphasis is on mathematical models and their various forms, although other types of models, such as knowledge-based, linguistics-based, graphical and data-based, are also discussed. The articles are revised from the Systems & Control Encyclopedia, and many newly commissioned articles are included describing recent developments in the field. Articles on identification cover all aspects of this problem, from the use and choice of specific test signals to problems of model order and the many algorithms and approaches to parameter estimation. Computational techniques, such as the finite-element method, that play an important role in analyzing nonlinear models are covered. Articles outline the development of simulation, consider currently available simulation languages, describe applications and cover current developments in the area. Where appropriate, illustrations and tables are included to clarify particular topics. This encyclopedia will be a valuable reference source for all practising engineers, researchers and postgraduate students in the field of modelling and simulation.
For scientists in academia and industry involved with the design, modelling and simulation of physical systems, and systems and control theorists and practitioners.
Concise Encyclopedia of Modelling and Simulation, 1st Edition
Abstract realization theory. Aggregation, chained. Aggregation: model reduction. Automatic modelling of three-dimensional objects. Bayes' rule. Causality. Chaotic behavior. Closed-loop systems. Cognition. Combined discrete and continuous models: firmware. Comparison systems. Composite systems. Constraints. Data. Databases. Deterministic systems. Differential equations. Digraphs. Distributed parameter systems. Emulation and microprogramming. Entropy. Exogenous variables. Feedback loops. Finite-difference method. Finite-element method. Flexible manufacturing systems. Forecasts. Fuzzy models. Hypotheses. Identification. Identification: correlation methods. Identification: pseudorandom signal method. Information processing. Integrodifferential systems. Kalman filters. Laplace transforms. Linear systems: Kronecker canonical forms and invariants. Markov processes. Mechanical systems simulation. Model-based fault diagnosis. Modelling of industrial robots. Nonlinear effects and their modelling. Nuclear reactor modelling. Object-oriented simulation. Observability. Open-loop systems. Outputs. Parameters. Partial differential equation models: numerical solution. Petri nets. Polynomial matrices in systems theory. Project management: network models. Reliability. Servovalves, electrohydraulic. Simulation languages. Singular systems. Smith--McMillan canonical forms for rational matrices. Stochastic processes. Taxonomy. Time horizons. Transfer functions. Truncation. Validation of identified models. Verification. Vibrations and vehicle dynamics. Wave propagation in periodic structures. Workshop dynamic modelling.