We address robust stabilization problem for networked controlsystems with nonlinear uncertainties and packet losses by modelling such systems as a class of uncertain switched systems. Based on theories on switched Ly...
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ISBN:
(纸本)9781424445233
We address robust stabilization problem for networked controlsystems with nonlinear uncertainties and packet losses by modelling such systems as a class of uncertain switched systems. Based on theories on switched Lyapunov functions, we derive the robustly stabilizing conditions for state feedback stabilization and design packet-loss dependent controllers by solving some matrix inequalities. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design method.
We consider the output feedback stabilizability of networked controlsystems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback c...
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We consider the output feedback stabilizability of networked controlsystems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback controllers by resolving some linear matrix inequalities. Moreover, two types of packet-loss processes are discussed: one is the arbitrary packet-loss process, and the other is the Markovian packet-loss process. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design technique.
The principle of fuzzy control and its application in automatic route tracking of smartcar are presented in the paper. The fuzzy controller is established to control the steering servo motor of the smartcar. Simulatio...
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The principle of fuzzy control and its application in automatic route tracking of smartcar are presented in the paper. The fuzzy controller is established to control the steering servo motor of the smartcar. Simulation of the designed controller based on MATLAB fuzzy logical toolbox is proposed. And the fuzzy controller is realized using freescale fuzzy inference machine. It is successfully applied in the automatic route tracking. The hardware design of the smartcar introduced. Then, the process of establishing the fuzzy controller is described in detail, including the choice of fuzzy input and output variables, linguistic values, domain, input and output membership functions, rule base, fuzzification, rule inference, defuzzification. The validity of the designed controller is verified by MATLAB simulation and actual operating results.
The stabilization problem of networked controlsystems with bounded packet loss is addressed. We model such networked controlsystems as a class of switched systems, and present sufficient conditions for the stabiliza...
详细信息
ISBN:
(纸本)9781424431236
The stabilization problem of networked controlsystems with bounded packet loss is addressed. We model such networked controlsystems as a class of switched systems, and present sufficient conditions for the stabilization by using a packet-loss dependent Lyapunov function. Moreover, different from existing results, we propose the design for packet-loss dependent stabilizing controllers for two types of packet-loss processes: one is a arbitrary packet-loss process, and the other is a Markovian packet-loss process. Several numerical examples and simulations are worked out to demonstrate the effectiveness of the proposed design technique.
A platform of the Internet-based teleoperation system with an omni-directional mobile robot which has a five DOFs robot arm is constructed. Remote control of the robot through the Internet is implemented. The system i...
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A platform of the Internet-based teleoperation system with an omni-directional mobile robot which has a five DOFs robot arm is constructed. Remote control of the robot through the Internet is implemented. The system is featured as low-cost and user interface friendly: remote users can control the robot through the Internet just by a client program in a general computer. The client computer can receive the live video and environment information measured by sensors. With the help of the remote video and the local simulation, users can easily communicate with the robot. Different modules are proposed and the implementation method of the system is presented. Related experiments are conducted to test the validity of the proposed system.
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