Linear control theory: Structure, robustness, and optimization

Linear Control Theory: Structure, Robust

📁 Linear Control Theory: Structure, Robustness, and Optimization

✍ Shankar P. Bhattacharyya, Aniruddha Datta, Lee H. Keel 📂 Library 📅 2009 🏛 CRC Press 🌐 English

Successfully classroom-tested at the graduate level, Linear Control Theory: Structure, Robustness, and Optimization covers three major areas of control engineering (PID control, robust control, and optimal control). It provides balanced coverage of elegant mathematical theory an

Linear Control Theory: Structure, Robust

📁 Linear Control Theory: Structure, Robustness, and Optimization (Automation and Control Engineering)

✍ Shankar P. Bhattacharyya, Aniruddha Datta, Lee H. Keel 📂 Library 📅 2009 🏛 CRC Press 🌐 English

Successfully classroom-tested at the graduate level, Linear Control Theory: Structure, Robustness, and Optimization covers three major areas of control engineering (PID control, robust control, and optimal control). It provides balanced coverage of elegant mathematical theory an

Linear Systems: Optimal and Robust Contr

📁 Linear Systems: Optimal and Robust Control

✍ Alok Sinha 📂 Library 📅 2007 🏛 CRC Press 🌐 English

Linear systems: optimal and robust contr

📁 Linear systems: optimal and robust control

✍ Alok K. Sinha 📂 Library 📅 2007 🏛 CRC Press 🌐 English

Control Theory: From Classical to Quantu

📁 Control Theory: From Classical to Quantum Optimal, Stochastic, and Robust Control

✍ James M.R. 📂 Library 📅 2005 🏛 Caltech Quantum Control Summer School 🌐 English

Extensions of Linear-Quadratic Control,

📁 Extensions of Linear-Quadratic Control, Optimization and Matrix Theory

✍ David H. Jacobson (Eds.) 📂 Library 📅 1977 🏛 AP 🌐 English

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrang