The objective of this study is to design a robust direct model reference adaptive controller (DMRAC) for a nonlinear cardiovascular model over a range of plant parameters representing a variety of physical conditions. The direct adaptive controllers used in thisd study require the plant to be almost strictly positive real (ASPR) that is, for a plant to be controlled there must exist a feedback ...

Magnetic Levitation is a process in which an object suspended with the support of magnetic field. Despite being unstable system, Systems (MAGLEV) have profound applications various fields engineering. MAGLEV systems are sensitive, unstable, and nonlinear uncertainties always pose challenge Controller Design. As solution, adaptive controllers came into existence adaptation mechanisms to cover sy...

This paper presents a model-reference adaptive control approach for systems with unstructured uncertainty based on two least-squares parameter estimation methods: gradient-based method and recursive leastsquares method. The unstructured uncertainty is approximated by Chebyshev orthogonal polynomial basis functions. The use of orthogonal basis functions improves the function approximation signif...

Regulation of hemodynamic parameters is a challenging problem, due to interand intra-patient variability, drug interactions, evolving patient condition, and in the case of simultaneous control of mean arterial pressure and cardiac output, tight coupling between the two variables. This requires a controller that can adapt to conditions as they evolve, and without the need to tune the controller ...

This paper presents a comparative analysis of continuously stirred tank reactor (CSTR) control based on adaptive control and optimal tuning of PID control based on particle swarm optimization. In the design of adaptive control, Model reference adaptive control (MRAC) scheme is used, in which the adaptation law have been developed by MIT rule & Lyapunov’s rule. In PSO control parameters of PID c...

Model reference adaptive formation control of multi-agent systems composed of unknown linear processes is presented based on H∞ control criterion. This is the first attempt to solve the formation control problem from the view point of model reference adaptive control by output feedbacks. The proposed control schemes are derived as solutions of certain H∞ control problems, where estimation error...