Multiple model adaptive controller for the STOL F-15 with sensor/actuator failures

2003 ◽  
Author(s):  
P.S. Maybeck ◽  
D.L. Pogoda
Keyword(s):  
Adaptive Controller ◽  
Multiple Model ◽  
Actuator Failures ◽  
Sensor Actuator

Robust Adaptive Control Scheme for Discrete-Time System With Actuator Failures

2004 ◽  
Vol 127 (3) ◽  
pp. 520-526 ◽  
Author(s):  
Juntao Fei ◽  
Shuhao Chen ◽  
Gang Tao ◽  
Suresh M. Joshi
Keyword(s):  
Adaptive Control ◽  
Discrete Time ◽  
System Performance ◽  
Linear Time ◽  
Adaptive Controller ◽  
Robust Adaptive Control ◽  
Discrete Time System ◽  
Control Approach ◽  
Actuator Failures ◽  
Robust Adaptive

A robust adaptive control approach using output feedback for output tracking is developed for discrete-time linear time-invariant systems with uncertain failures of redundant actuators in the presence of the unmodeled dynamics and bounded output disturbance. Such actuator failures are characterized by some unknown inputs stuck at some unknown fixed values at unknown time instants. Technical issues such as plant-model output matching, adaptive controller structure, adaptive parameter update laws, stability and tracking analysis, and robustness of system performance are solved for the discrete-time adaptive actuator failure compensation problem. A case study is conducted for adaptive compensation of rudder servomechanism failures of a Boeing 747 dynamic model presented in discrete time, verifying the desired adaptive system performance in the presence of uncertain actuator failures.

Development and Simulation of an Adaptive Control System for the Teleoperation of Medical Robots

2013 ◽  
pp. 173-185 ◽  
Author(s):  
Vu Trieu Minh
Keyword(s):  
Neural Network ◽  
Control System ◽  
Remote Control ◽  
Low Cost ◽  
Adaptive Controller ◽  
Medical Doctor ◽  
Multiple Model ◽  
Adaptive Control System ◽  
The Stability ◽  
Master Device

This chapter presents the design and calculation procedure for a teleoperation and remote control of a medical robot that can help a doctor to use his hands/fingers to examine patients in remote areas. This teleoperation system is simple and low cost, connected to the global Internet system, and through the interaction with the master device, the medical doctor is able to communicate control signals for the slave device. This controller is robust to the time-variant delays and the environment uncertainties while assuring the stability and the high transparent performance. A novel theoretical framework and algorithms are developed with time forward observer-based adaptive controller and neural network-based multiple model. The system allows the medical doctor to feel the real sense of the remote environments.

scholarly journals Adaptive controller placement for wireless sensor–actuator networks with erasure channels

Automatica ◽  
2013 ◽  
Vol 49 (11) ◽  
pp. 3458-3466 ◽  
Author(s):  
Daniel E. Quevedo ◽  
Karl H. Johansson ◽  
Anders Ahlén ◽  
Isabel Jurado
Keyword(s):  
Adaptive Controller ◽  
Wireless Sensor ◽  
Erasure Channels ◽  
Sensor Actuator ◽  
Controller Placement

scholarly journals Adaptive Control for a Class of Nonlinear System with Redistributed Models

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Haisen Ke ◽  
Jiang Li
Keyword(s):  
Adaptive Control ◽  
Nonlinear System ◽  
Adaptive Controller ◽  
Multiple Models ◽  
Multiple Model ◽  
Transient Performance ◽  
Feedback Form ◽  
System A ◽  
Multiple Model Adaptive Control ◽  
The Stability

Multiple model adaptive control has been investigated extensively during the last ten years in which the “switching” or “switching and tuning” have emerged as the mainly approaches. It is the “switching” that can improve the transient performance to some extent and also make it difficult to analyze the stability of the system with multiple models adaptive controller. Towards this goal, this paper develops a novel multiple models adaptive controller for a class of nonlinear system in parameter-strict-feedback form which not only improves the transient performance significantly, but also guarantees the stability of all the states of the closed-loop system. A simulation example is proposed to illustrate the effectiveness of the developed multiple models adaptive controller.

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