PID Controller Design | Tuning the Gains with MATLAB Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 765 MB | Duration: 2h 38m Design PID Controller with MATLAB and Set the Gains to get Desired Response
Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems: A Metaheuristic Approach by Maude Josée Blondin English | PDF | 2021 | 107 Pages | ISBN : 3030645401 | 2.2 MB
This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications. Classical controller tuning approaches are presented with real-world challenges faced in control engineering. Current developments in applying optimization techniques to controller tuning are explained.
Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems: A Metaheuristic Approach by Maude Josée Blondin English | EPUB | 2021 | 107 Pages | ISBN : 3030645401 | 4.2 MB
This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications. Classical controller tuning approaches are presented with real-world challenges faced in control engineering. Current developments in applying optimization techniques to controller tuning are explained.
Mikrocomputertechnik mit der 8051-Controller-Familie: Hardware, Assembler, C by Jürgen Walter Deutsch | PDF | 2008 | 324 Pages | ISBN : 354066758X | 14.2 MB
Der 8051-Controller ist aufgrund seiner weiten Verbreitung besonders als Modellsystem für die Mikrocomputertechnik geeignet.
David Parmenter, "The Financial Controller and CFO's Toolkit: Lean Practices to Transform Your Finance Team Ed 3" English | ISBN: 1119286549 | 2016 | 464 pages | EPUB | 13 MB
Chemical Optimization Algorithm for Fuzzy Controller Design by Leslie Astudillo English | EPUB | 2014 | 81 Pages | ISBN : 3319052446 | 1.8 MB
In this book, a novel optimization method inspired by a paradigm from nature is introduced. The chemical reactions are used as a paradigm to propose an optimization method that simulates these natural processes. The proposed algorithm is described in detail and then a set of typical complex benchmark functions is used to evaluate the performance of the algorithm. Simulation results show that the proposed optimization algorithm can outperform other methods in a set of benchmark functions.