Optimum Networked Management Techniques with MATLAB
English | 2015 | ISBN: 1482235250 | 355 pages | PDF | 6,eight MB
Optimum Networked Management Techniques with MATLAB® discusses optimum controller design in discrete time for networked management methods (NCS). The authors apply a number of highly effective trendy management methods in discrete time to the design of clever controllers for such NCS. Detailed derivations, rigorous stability proofs, pc simulation examples, and downloadable MATLAB® codes are included for every case.
The guide begins by offering background on NCS, networked imperfections, dynamical techniques, stability concept, and stochastic optimum adaptive controllers in discrete time for linear and nonlinear techniques. It lays the inspiration for reinforcement learning-based optimum adaptive controller use for finite and infinite horizons. The textual content then:
Introduces quantization results for linear and nonlinear NCS, describing the design of stochastic adaptive controllers for a category of linear and nonlinear techniques
Presents two-player zero-sum game-theoretic formulation for linear techniques in enter–output type enclosed by a communication community
Addresses the stochastic optimum management of nonlinear NCS through the use of neuro dynamic programming
Explores stochastic optimum design for nonlinear two-player zero-sum video games underneath communication constraints
Treats an event-sampled distributed NCS to attenuate transmission of state and management alerts inside the suggestions loop by way of the communication community
Covers distributed joint optimum community scheduling and management design for wi-fi NCS, in addition to the impact of community protocols on the wi-fi NCS controller design
A perfect reference for graduate college students, college researchers, and working towards engineers, Optimum Networked Management Techniques with MATLAB® instills a strong understanding of neural community controllers and methods to construct them.