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 ...

In this paper, we study the problem of feedback complete linearization for a given single input single output stochastic nonlinear system. Using the invariance under transformation rule [1], the coordinate free necessary and su± cient conditions for the solvability of the problem is derived, which is exactly the same as the necessary and su± cient conditions for the solvability of the feedback ...

in this paper, the problem of decentralized model reference adaptive control (mrac) for a class of large scale systems with time varying delay in interconnected term and input and state delays is studied. to compensate the effect of input delay indirectly, a smith predictor built on. to handle the effects of the time delays in input, the adaptive controller part includes two auxiliary dynamic f...

We present an approach to designing feedback controllers that solve a path following control problem for a large class of mechanical systems. Our approach involves set stabilization via transverse feedback linearization: a coordinate and feedback transformation that yields a normal form convenient for control design making desired path attractive. Our approach also involves refining the normal ...

A robust control approach is developed to control robot in the task space using sliding mode by support of feedback linearization control and backstepping method, in this study. The bounds of uncertainties applied in the sliding mode control are reduced by applying feedback linearization. This provides a robust control system with a less error. The back-stepping method is used to define a linea...