| A novel observer for tracking and identifying a chaotic system with time-varying bifurcation parameters via an observation signal contaminated by additive white Gaussian noise (AWGN) is developed in this paper. It is realized by an adaptive algorithm which takes advantage of the good approximation capability of the Radial Basis Function (RBF) neural network and the ability of the Extended Kal...

An integrated design of robust controller and fault estimator for linear parameter varying systems is presented in this paper. Based on gain-scheduled H∞ design strategy and scaled bounded real lemma, a linear parameter varying controller is developed, which can generate both control signals and fault estimates. To demonstrate the effectiveness of the proposed method, an uncertain system with a...

Many correlation filters have been designed to be invariant to certain parameters within a set of input images. For example, the construction of rotation and scale invariant filters is well documented. However, an estimation of a generic varying parameter is not available by these methods. This paper presents a two-filter method that estimates the value of a varying parameter in the input image.

The paper considers a problem of consensus-based synchronization of uncertain parameter varying multi-agent systems. We present a method for constructing consensus-based synchronization protocol schedules for each agent to ensure it synchronizes with a reference parameter-varying system. The proposed protocol guarantees a specified level of H∞ transient consensus between the agents. The algorit...

This article presents parameter estimation of continuous-time polytopic models for a linear parameter varying (LPV) system. The prediction error method of linear time invariant (LTI) models is modi ed for polytopic models. The modi ed prediction error method is applied to an LPV aircraft system whose varying parameter is the ight velocity and model parameters are the stability and control deriv...

Existing control theory for linear parameter-varying systems uses a uniform-in-the-parameters upper bound (a constant scalar) on the induced-L 2 norm. In this paper, this constant is generalized to a function of the parameters; the performance criterion generalizes to an integral quadratic constraint and implies a norm bound that depends naturally on the real-time parameter trajectory. As in ex...