Discover the control engineering skills for state space control system design, simulation, and implementation State space control system design is one of the core courses covered in engineering programs around the world. Applications of control engineering include things like autonomous vehicles, renewable energy, unmanned aerial vehicles, electrical machine control, and robotics, and as a result the field may be considered cutting-edge. The majority of textbooks on the subject, however, lack the key link between the theory and the applications of design methodology. State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials provides a unique perspective by linking state space control systems to engineering applications. The book comprehensively delivers introductory topics in state space control systems through to advanced topics like sensor fusion and repetitive control systems. More, it explores beyond traditional approached in state space control by having a heavy focus on important issues associated with control systems like disturbance rejection, reference following, and more. Topics included in the text include discrete-time state space control design, repetitive control systems, and Kalman filter and its applications in sensor fusion. State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials readers will also find: * MATLAB and Simulink tutorials that enable the reader to master the control engineering skills for state space control system design, simulation, and implementation * An accompanying website that includes MATLAB code and solutions to exercises * High-end illustrations and tables throughout the text to illustrate important points * Written by experts in the field of process control and state space control systems State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials is an ideal resource for students from advanced undergraduate students to postgraduates, as well as researchers in electrical, mechanical, chemical, and aerospace engineering.