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Robotics, Vision and Control Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition

Corke, Peter. author.

http://dx.doi.org/10.1007/978-3-319-54413-7

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Robotics, Vision and Control Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended

Universal Fuzzy Controllers for Non-affine Nonlinear Systems

Gao, Qing. author.

http://dx.doi.org/10.1007/978-981-10-1974-6

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be conveniently verified using the MATLAB toolbox. Moreover, the thesis provides a new, easy

Human Subject Research for Engineers A Practical Guide

de Winter, Joost C.F. author.

http://dx.doi.org/10.1007/978-3-319-56964-2

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Statistics -- 4 Publishing -- MATLAB Scripts.

Estimation and Control for Networked Systems with Packet Losses without Acknowledgement

Lin, Hong. author.

http://dx.doi.org/10.1007/978-3-319-44212-9

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computer routines. It also provides MATLAB® routines for the key algorithms. It shows how these methods and

Nonlinear Model Predictive Control Theory and Algorithms

Grüne, Lars. author.

http://dx.doi.org/10.1007/978-3-319-46024-6

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—the core of any nonlinear model predictive controller—works. Accompanying software in MATLAB® and C++

Adaptive and Robust Active Vibration Control Methodology and Tests

Landau, Ioan Doré. author.

http://dx.doi.org/10.1007/978-3-319-41450-8

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and experimental evaluation. MATLAB®routines, Simulink® diagrams and bench-test data are available for

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence

Duriez, Thomas. author.

http://dx.doi.org/10.1007/978-3-319-40624-4

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. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes

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