Robot Control Systems and MATLAB Simulation

Professor Liu Jinkun's "Robot Control Systems and MATLAB Simulation" is a fundamental textbook that effectively bridges robot control theory with simulation practice. The book systematically introduces core principles of robot control and demonstrates their implementation through MATLAB simulations, providing readers with a complete learning path from theoretical concepts to practical applications.

Regarding robot control methodologies, the book covers essential control strategies including PID control, fuzzy logic control, and adaptive control systems. It addresses the nonlinear characteristics of robotic systems by presenting corresponding control solutions. Through MATLAB implementation, readers can visually observe control algorithm performance using functions like pid() for PID tuning and anfis() for fuzzy systems, enabling clear comparison of different control approaches.

The book emphasizes MATLAB/Simulink's critical role in robot control research. Simulink facilitates building accurate robot dynamic models through block diagram environments, while MATLAB scripting allows for algorithm testing via ode solvers for dynamic simulation. This simulation approach significantly reduces experimental costs and accelerates development cycles through rapid prototyping and parameter optimization techniques.

This work is particularly suitable for students and researchers in robotics engineering, automation, and related fields who seek to master core control algorithms and validate them through simulation tools. Combining theoretical depth with practical implementation guidance, the book serves as an essential reference in the robot control domain, featuring real-world code examples and simulation case studies.