Adaptive Neural Control of Nonaffine Nonlinear Systems without Differential Condition for Nonaffine Function

Adaptive Tracking Control for Nonaffine Nonlinear Systems With Zero Dynamics

A direct adaptive neural network tracking control scheme is presented for a class of nonaffine nonlinear systems with zero dynamics. The method does not assume boundedness on the time derivative of a control effectiveness term. Parameters in neural networks are updated using a gradient descent method which designed in order to minimize a quadratic cost function of the error between the unknown ...

Adaptive Control of Nonaffine Systems with Applications to Flight Control

Output Based Adaptive Iterative Learning Control Design for Nonaffine Nonlinear Systems

In this paper, an output based adaptive iterative learning controller using an output recurrent fuzzy neural network is proposed for a class of uncertain nonaffine nonlinear systems. It is assumed that the states are not measurable. Without state observer, a sliding window of measurement is introduced to design the iterative learning controller. The main structure of this controller is construc...

Adaptive T-S fuzzy-neural modeling and control for general MIMO unknown nonaffine nonlinear systems using projection update laws

Necessary Conditions for Feedback Passivation of Nonaffine-in-Control Systems

It is well understood that an open-loop Lyapunov stable nonaffine-in-control nonlinear system can be asymptotically stabilized through feedback. But stabilizing an open-loop unstable nonaffine system remains an open research question. This paper derives the necessary conditions required to render a general open-loop unstable nonlinear system passive through static feedback. It is shown that thi...