This text provides the reader with a grounding in sliding mode control and is appropriate for the graduate with a basic knowledge of classical control theory and some knowledge of state-space methods. From this basis, more advanced theoretical
Demonstrating how to use personal computers for modeling and simulation, this practical tutorial discusses how to effectively simulate dynamical syste..
This book discusses the theories, methods, and application techniques of the measurement data mathematical modeling and parameter estimation. It seeks..
Collecting concepts that have previously been scattered in peer-reviewed international journals, this book compiles the authors’ recent work involving..
Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation problems ar..
This text tackles newly arising theoretical and real-world challenges for stability analysis and control design. It first reviews the nonlinear small-..
The book summarizes theory and applications of data-driven model-free adaptive control (MFAC) which is different from the traditional adaptive control..
With emphasis on the fundamental ideas and applications of modelling and design, Control Engineering imparts a thorough understanding of the principle..
This work presents approaches to modelling and control problems arising from conditions of ever increasing nonlinearity and complexity. It prescribes ..
This textbook is designed for an advanced course in Control Theory. Basic courses in control typically cover linear time invariant systems with one in..
Robot Manipulator Control offers a complete survey of control systems for serial-link robot arms and acknowledges how robotic device performance hinge..
This second edition of Robust Control System Design expands upon a groundbreaking and combinatorial approach to state space control system design that..
"Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical systems-wi..