Autor/Autorin: Ridwan Wrastawa
Wrastawa Ridwan received his master degree in Control and Intelligent Systems from Institute of Technology Bandung, Indonesia. Since 2005, he has been working as a lecturer in the Department of Electrical Engineering State University of Gorontalo, Indonesia. His research interests are control systems, NCS and intelligent system.
In modern control systems, physical plant, controller, sensors and actuators are difficult to be located at the same place, and hence these components need to be connected over network media. When feedback control system is closed via a communication channel, then the control system is classified as a Networked Control Systems (NCS). This book presents the design of dissipative control system for NCS. The dissipativity analysis with quadratic supply function is quite general which includes H? and passivity as special cases. The NCS is modelled as a time delay systems. Two network features are considered: signal transmission delay and data packet dropout. Our objective is focused on the design of state feedback controller which guarantee asymptotic stability of the closed-loop systems. The proposed methods are given in the terms of Linear Matrix Inequality (LMI). If this LMI conditions feasible, a desired controller can be readily constructed. Finally, we consider an unstable system for systems simulation. It is shown that the state feedback controller proposed here make the closed-loop system stable with or without input disturbance.
In modern control systems, physical plant, controller, sensors and actuators are difficult to be located at the same place, and hence these components need to be connected over network media. When feedback control system is closed via a communication channel, then the control system is classified as a Networked Control Systems (NCS). This book presents the design of dissipative control system for NCS. The dissipativity analysis with quadratic supply function is quite general which includes H and passivity as special cases. The NCS is modelled as a time delay systems. Two network features are considered: signal transmission delay and data packet dropout. Our objective is focused on the design of state feedback controller which guarantee asymptotic stability of the closed-loop systems. The proposed methods are given in the terms of Linear Matrix Inequality (LMI). If this LMI conditions feasible, a desired controller can be readily constructed. Finally, we consider an unstable system for systems simulation. It is shown that the state feedback controller proposed here make the closed-loop system stable with or without input disturbance.
Wrastawa Ridwan received his master degree in Control and Intelligent Systems from Institute of Technology Bandung, Indonesia. Since 2005, he has been working as a lecturer in the Department of Electrical Engineering State University of Gorontalo, Indonesia. His research interests are control systems, NCS and intelligent system.
Über den Autor
Wrastawa Ridwan received his master degree in Control and Intelligent Systems from Institute of Technology Bandung, Indonesia. Since 2005, he has been working as a lecturer in the Department of Electrical Engineering State University of Gorontalo, Indonesia. His research interests are control systems, NCS and intelligent system.
Klappentext
In modern control systems, physical plant, controller, sensors and actuators are difficult to be located at the same place, and hence these components need to be connected over network media. When feedback control system is closed via a communication channel, then the control system is classified as a Networked Control Systems (NCS). This book presents the design of dissipative control system for NCS. The dissipativity analysis with quadratic supply function is quite general which includes H8 and passivity as special cases. The NCS is modelled as a time delay systems. Two network features are considered: signal transmission delay and data packet dropout. Our objective is focused on the design of state feedback controller which guarantee asymptotic stability of the closed-loop systems. The proposed methods are given in the terms of Linear Matrix Inequality (LMI). If this LMI conditions feasible, a desired controller can be readily constructed. Finally, we consider an unstable system for systems simulation. It is shown that the state feedback controller proposed here make the closed-loop system stable with or without input disturbance.
