Applications of Nonlinear Control

✍ Meral Altinay 📂 Library 📅 2012 🏛 InTeO 🌐 English

This book includes nonlinear design topics such as Feedback Linearization, Lyapunov Based Control, Adaptive Control, Optimal Control and Robust Control. The book will provide the reader with information on modern control techniques and results which cover a very wide application area. A trend of inv

Nonlinear Process Control: Applications

📁 Nonlinear Process Control: Applications of Generic Model Control

✍ Peter L. Lee (auth.), Peter L. Lee (eds.) 📂 Library 📅 1993 🏛 Springer-Verlag London 🌐 English

<p>It is a valuable contribution to the task of filling the theory and practice gap that exists in Process Control. The volume editor has drawn together a number of industrial case studies where Generic Model Control has been successfully applied. Each case study is documented and described in detai

Applied Nonlinear Control

📁 Applied Nonlinear Control

✍ Jean-Jacques Slotine Weiping Li 📂 Library 📅 1991 🌐 English

Covers in a progressive fashion a number of analysis tools and design techniques directly applicable to nonlinear control problems in high performance systems (in aerospace, robotics and automotive areas).

Applied Nonlinear Control

📁 Applied Nonlinear Control

✍ Jean-Jacques Slotine, Weiping Li 📂 Library 📅 1991 🏛 Pearson 🌐 English

Applied Nonlinear Control

📁 Applied Nonlinear Control

✍ Jean-Jacques Slotine, Weiping Li 📂 Library 📅 1991 🏛 Pearson 🌐 English

Covers in a progressive fashion a number of analysis tools and design techniques directly applicable to nonlinear control problems in high performance systems (in aerospace, robotics and automotive areas).

Control of Nonlinear Dynamical Systems:

📁 Control of Nonlinear Dynamical Systems: Methods and Applications

✍ Felix L. Chernousko, Igor M. Ananievski, Sergey A. Reshmin (auth.) 📂 Library 📅 2008 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p><P>This book is devoted to new methods of control for complex dynamical systems and deals with nonlinear control systems having several degrees of freedom, subjected to unknown disturbances, and containing uncertain parameters. Various constraints are imposed on control inputs and state variables