![]() Part I Continuous-time State Feedback Control 1ġ State Feedback Controller and Observer Design 3ġ.2 Motivation for Going Beyond PID Control 4ġ.4.2 Similarity Transformation for Controller Design 24ġ.4.3 MATLAB Tutorial on Pole-assignment Controller 27ġ.5 Linear Quadratic Regulator (LQR) Design 29ġ.5.2 Linear Quadratic Regulator Design 32ġ.5.4 LQR with Prescribed Degree of Stability 39ġ.6.1 Motivational Example for Observer 47ġ.6.4 Duality between Controller and Observer 55ġ.7 State Estimate Feedback Control System 58Ģ Practical Multivariable Controllers in Continuous-time 67Ģ.2 Practical Controller I: Integral Action via Controller Design 68Ģ.2.3 Proposed Practical Multivariable Controller 71Ģ.2.5 MATLAB Tutorial on Design and Implementation 77Ģ.2.6 Application to Drum Boiler Control 85Ģ.3 Practical Controller II: Integral Action via Observer Design 92Ģ.3.1 Integral Control via Disturbance Estimation 92Ģ.3.3 MATLAB Tutorial on Design and Implementation 96Ģ.3.4 Application to Sugar Mill Control 102Ģ.3.5 Design for Systems with Known States 103Ģ.4 Drive Train Control of aWind Turbine 107Ģ.4.1 Modelling of Wind Turbine's Drive Train 107Ģ.4.2 Configuration of The Control System 110Ģ.4.5 MATLAB Tutorial on Design Method II 116 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 industrial researchers and engineers in electrical, mechanical, chemical, and aerospace engineering. * Written by experts in the field of process control and state space control systems * High-end illustrations and tables throughout the text to illustrate important points * An accompanying website that includes MATLAB code * MATLAB and Simulink tutorials in a step-by-step manner that enable the reader to master the control engineering skills for state space control system design and Kalman filter, simulation, and implementation State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials readers will also find: The text sequentially presents continuous-time and discrete-time state space control systems, Kalman filter and its applications in sensor fusion. ![]() More, it explores beyond traditional approaches in state space control by having a heavy focus on important issues associated with control systems like disturbance rejection, reference tracking, control signal constraint, sensor fusion and more. The book comprehensively delivers introductory topics in state space control systems through to advanced topics like sensor fusion and repetitive control systems. ![]() State Feedback Control and Kalman Filtering with MATLAB/Simulink Tutorials provides a unique perspective by linking state space control systems to engineering applications. The majority of textbooks on the subject, however, lack the key link between the theory and the applications of design methodology. 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. State space control system design is one of the core courses covered in engineering programs around the world. STATE FEEDBACK CONTROL AND KALMAN FILTERING WITH MATLAB/SIMULINK TUTORIALSĭiscover the control engineering skills for state space control system design, simulation, and implementation
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