A hybrid static gain observer for systems described by a linear time-delay continuous part under impulsive feedback is suggested. The purpose of the observer is to asymptotically drive the state estimation error in the continuous states to zero and synchronize the sequence of modulated jump instants estimated by the observer with that of the plant. Conditions on the observer gain matrix to loca...

Globally convergent observers are designed for a class of systems with monotonic nonlinearities. The approach is to represent the observer error system as the feedback interconnection of a linear system and a time-varying multivariable sector nonlinearity. Using LMI software, observer gain matrices are computed to satisfy the circle criterion and, hence, to drive the observer error to zero. In ...

This paper addresses parameter and state estimation problem in the presence of the perturbation of observer gain bounded input disturbances for the Lipschitz systems that are linear in unknown parameters and nonlinear in states. A new nonlinear adaptive resilient observer is designed, and its stability conditions based on Lyapunov technique are derived. The gain for this observer is derived sys...

This paper presents a comparison study of performances and characteristics of three advanced state observers, including the high-gain observers, the sliding-mode observers and the extended state observers. These observers were originally proposed to address the dependence of the classical observers, such as the Kalman Filter and the Luenberger Observer, on the accurate mathematical representati...

This paper is concerned with the observer design for one-dimensional linear parabolic partial differential equations whose output is a weighted spatial average of the state over the entire spatial domain. We focus on the backstepping approach, which provides a systematic procedure to design an observer gain for systems with boundary measurement. If the output is not a boundary value of the stat...

This paper addresses the problem of region tracking control for underwater vehicles without velocity measurement in marine environment. For this case, an improved strategy is proposed based on a Nussbaum-type state observer. In scheme, observer developed to estimate unmeasured vehicle. And then presented by incorporating estimated observer, such that errors satisfy requirement prescribed bounda...

In this study, nonlinear second order systems with unmeasured system states and bounded external disturbances are considered. The observer gain of the sliding mode observer is adjusted by using a support vector machine based plant model. Computer simulations are presented to show the effect of the proposed adjustment mechanism on the performance of the output feedback sliding mode controller. I...

An unknown input high gain observer (UIHGO) based component fault detection and isolation (FDI) technique is presented. First, a reduced order UIHGO is derived for a linear system whose parameters are uncertain to some extent. The observer gain is determined by solving the well-known algebraic Riccati equation (ARE). Then, using a bank of such observers, a FDI algorithm is devised to detect and...

In this work, we focus on a class of nonlinear systems and design an estimator-based economic model predictive control (MPC) system which is capable of optimizing closed-loop performance with respect to general economic considerations taken into account in the construction of the cost function.Workingwith the class of full-state feedback linearizable nonlinear systems, we use a high-gain observ...