A nonlinear geometric observer is developed, which infers the distillate and residue compositions in a highly-nonlinear binary distillation column from temperature measurements. The estimator performance is evaluated by imposing severe step changes to the input variables. In particular, the capability of the observer reconstruction is assessed with regard to ill-conditioning of the observabilit...

Observer design for highly nonlinear dynamics is an important issue, particularly when the locally observable dynamics are not linearly observable. In such circumstances the ability to reduce the system to observable or observer form is key to observer design. We describe and illustrate symbolic computing tools to do that.

Observer design for highly nonlinear dynamics is an important issue, particularly when the locally observable dynamics are not linearly observable. In such circumstances the ability to reduce the system to observable or observer form is a useful first step to observer design. We describe and illustrate symbolic computing tools to do that. 2005 Elsevier Inc. All rights reserved.

In this paper, we propose an observed-based control for the PVTOL aircraft considering that the angular position is not measurable. The control strategy presented here, is robust with respect to observer errors and takes into account constraints imposed by the nonlinear observer. The observer design is based on the assumption that the horizontal position is the only available measure. We presen...

Abstract. The objective of this paper is to develop a hybrid scheme (nonlinear observer and fuzzy decision making) for fault detection and isolation (FDI) in the reaction wheels of a satellite. Specifically, the goal is to decide whether a bus voltage fault, a current fault or a temperature fault has occurred in one of the three reaction wheels and further to localize which fault has occurred. ...

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...

Abstract: Heating, Ventilating and Air Conditioning (HVAC) system is a nonlinear MIMO system which is very difficult to control. This paper presents adaptive fuzzy output feedback control based on observer for nonlinear HVAC System whose state variables are not available. Fuzzy systems are employed to approximate the unknown nonlinear functions of the HVAC system and the state observer is desig...

This paper deals with state observer design problem for a class of nonlinear dynamical systems with interval time-varying delay that satisfies the one-sided Lipschitz condition. The systems under consideration include the well-studied Lipschitz system as a special case and possess inherent advantages with respect to conservativeness. By constructing a novel Lyapunov-Krasovskii functional and ut...

This paper treats the problem of estimating simultaneously the state and the unknown inputs of a class of nonlinear discrete-time systems. An observer design method for nonlinear Lipschitz discrete-time systems is proposed. By assuming that the linear part of this class of systems is time-varying, the state estimation problem of nonlinear system is transformed into a state estimation problem fo...

By expanding each kernel using the orthonormal Laguerre series, a Volterra functional series is used to represent the input-output relation of a nonlinear dynamic system. With the feedback of the modeling error, we give a novel nonlinear observer-controller design, based on which both the stabilization and tracking problems are solved. To illustrate the effectiveness of the design algorithm, we...