Robust Control: Theoretical Models and Case Studies
"Robust Control: Theoretical Models and Case Studies" ed. by Moises Rivas LÃ³pez and Wendy Flores-Fuentes
ITexLi | 2016 | ISBN: 9535124242 9535124234 | 172 pages | PDF | 20 MB
With this approach in mind and with the intention to exemplify robust control applications, this book includes selected chapters that describe models of H-infinity loop, robust stability and uncertainty, among others. Each robust control method and model discussed in this book is illustrated by a relevant example that serves as an overview of the theoretical and practical method in robust control.
The need to be tolerant to changes in the control systems or in the operational environment of systems subject to unknown disturbances has generated new control methods that are able to deal with the non-parametrized disturbances of systems, without adapting itself to the system uncertainty but rather providing stability in the presence of errors bound in a model.
1 Robust Observer-Based Output Feedback Control of a Nonlinear Time-Varying System
2 New Stabilization of Complex Networks with Non-delayed and Delayed Couplings over Random Exchanges
3 Event-Triggered Static Output Feedback Simultaneous Hž Control for a Collection of Networked Control Systems
4 Sliding Mode Speed and Position Control of Induction Motor Drive in Cascade Connection
5 Robust Adaptive Repetitive and Iterative Learning Control for Rotary Systems Subject to Spatially Periodic Uncertainties
6 Sequential Optimization Model for Marine Oil Spill Control
7 Graphical Method for Robust Stability Analysis for Time Delay Systems: A Case of Study
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