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Statistical Methods in Control & Signal Processing

Presenting statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas, this;

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Stochastic Control & Mathematical Modeli

This is a concise and elementary introduction to stochastic control and mathematical modelling. This book is designed for researchers;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

Stochastic kinetic methods are currently considered to be the most realistic and elegant means of representing and simulating the dynamics;

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Advances in Power System Modelling, Control and Stability Analysis

of uncertainty, discrete Fourier transformation and stochastic differential equations. Part 2 focuses on power system operation and control and presents;

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Modelling and Identification with Rational Orthogonal Basis Functions

Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal;

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Optimal Control of Stochastic Difference Volterra Equations

of optimal control such as meeting given performance criteria, and stabilization, extending them to neutral stochastic difference Volterra equations;

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Stochastic Modelling of Reactionâ Diffusion Processes

reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio;

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Stochastic Modelling of Reaction-Diffusion Processes

reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio;

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Stochastic Processes: Modeling and Simulation

This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme;

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Analytical and Stochastic Modelling Techniques and Applications

This book constitutes the refereed proceedings of the 23rd International Conference on Analytical and Stochastic Modelling Techniques and;

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Analytical and Stochastic Modelling Techniques and Applications

This book constitutes the refereed proceedings of the 22nd International Conference on Analytical and Stochastic Modelling Techniques and;

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Stochastic Modelling For Systems Biology

Although stochastic kinetic models are increasingly accepted as the best way to represent and simulate genetic and biochemical networks;

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Applied Probability and Stochastic Processes

This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes;

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Applied Probability and Stochastic Processes

This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes;

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Analytical and Stochastic Modelling Techniques and Applications

This book constitutes the refereed proceedings of the 24th International Conference on Analytical and Stochastic Modelling Techniques and;

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Statistical Analysis and Stochastic Modelling of Hydrological Extremes

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Control and System Theory of Discrete-Time Stochastic Systems

discrete-time stochastic systems so that they can then apply its principles to their own stochastic control systems and to the solution of control;

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Stochastic Modelling and Control

This book aims to provide a unified treatment of input/output modelling and of control for discrete-time dynamical systems subject to;

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Modeling, Analysis, Design and Control of Stochastic Systems

to build stochastic models of physical systems, analyse these models to predict their performance, and use the analysis to design and control;

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Optimization Models and Concepts in Production Management

hierarchical production planning and large scale scheduling, optimal production control, exact and heuristic algorithms for production scheduling and;

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Stochastic Dynamics and Control

graduate course. It provides a systematic review of theory of probability, stochastic processes, and stochastic calculus. The feedback control;

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Stochastic Distribution Control System Design

optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop;

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Stochastic Modelling for Systems Biology, Third Edition

introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods;

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Stochastic Modelling for Systems Biology, Third Edition

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use;

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Generalized Stochastic Processes

in Probability Theory and Spectral Theory of Stochastic Processes plus a well-choosen set of problems and solutions round this compact textbook off.;

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True Digital Control

, stochastic and multivariable control, can be introduced and assimilated in an interesting and straightforward manner. Key features: * Covers both;

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Modelling and Hedging Equity Derivatives

of probability theory and stochastic calculus and a detailed discussion of practical software implementation issues.;

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