Adaptive control is the control method used by a controller which must adapt to a controlled system with parameters which vary, or are initially uncertain. Model reference adaptive controllers incorporate a reference model to define desired closed loop performance.
Model Reference Adaptive Control (MRAC)
This topic includes the following resources and journeys:
Forum on Robotics & Control Engineering (FoRCE, http://force.eng.usf.edu/) Seminar Series: "Model Reference Adaptive Control Fundamentals" (Dr. Tansel Yucelen)See More
This example shows how to control satellite spin using model reference adaptive control (MRAC) to make the unknown controlled system match an ideal reference model. The satellite system is...See More
This example shows how to control roll and roll rate of a delta wing aircraft undergoing wing rock. For this example, the system model is unknown. Therefore, you use model reference adaptive...See More
This blog post shows how to build from scratch a Simulink model of the famous MH-96, the X-15's Adaptive Flight Control SystemSee More
This website provides an overview of the mathematics behind Model Reference Adaptive Control (MRAC). MRAC is a model-based, real-time adaptive control algorithm that computes control actions...See More
This blog post introduces the algorithm that ruled the adaptive flight control system of the first manned hypersonic aircraft, the North American X-15.See More
These are the resources that are referenced throughout the MATLAB Tech Talk video I made called "Adaptive Control Basics: What is Model Reference Adaptive Control?"
The video has not been...See More