A continuous adaptive controller is developed for nonlinear dynamical systems with linearly parameterizable uncertainty involving time-varying uncertain parameters. Through a unique stability analysis strategy, new feedforward term along specialized feedback terms, to yield an asymptotic tracking error convergence result by compensating the nature of Lyapunov-based shown Euler–Lagrange systems,...

The linear parameter-varying (LPV) models have broad applications in advanced mathematics and modern control systems. This paper introduces a new method for controlling the LPV includes gain-scheduled state-feedback technique fuzzy system to calculate gain. main goal of is stabilize bring its states equilibrium points. Linear matrix inequalities feedback gains system. On other hand, also produc...