State space based nonlinear model predictive control (NMPC) needs the state for the prediction of the system behavior. Unfortunately, for most applications, not all states are directly measurable. To recover the unmeasured states, typically a stable state observer is used. However, this implies that the stability of the closed-loop should be examined carefully, since no general nonlinear separa...

In this paper, an extended observer was investigated and then implemented for generating approximate state feedback for an Internal Combustion (IC) engine. IC engines are inherently highly nonlinear in nature, therefore, present a problem for system modeling and observer design. A state-dependent gain scheduling control was used to improve state estimation. An extended observer was implemented ...

in this paper, control of a non-isothermal continuous stirred tank reactor in which two parallel autocatalytic reactions take place has been addressed. the reactor shows chaotic behavior for a certain set of reactor parameters. in order to control the product concentration, an optimal state feedback controller has been designed. since concentrations of reactor species are not measured, an obser...

This paper presents a new observer that estimates the exact state of a linear continuous-time system in predetermined finite time. The finite convergence time of the proposed observer is achieved by updating the observer state based on the difference between the measured output and the estimated output at discrete time instants. Simulation results are presented to illustrate the convergence beh...

This paper concerns the design of full state observers for state space systems where the state is evolving on a finite dimensional, connected Lie group. Traditional full state observer and filter designs for systems evolving in vector spaces employ the following design principle, going back to the work of Kalman [6] and Luenberger [7] on linear systems. The observer system is designed as a comb...

In current industrial control applications, the proportionalþ integralþ derivative (PID) control is still used as the leading tool, but constructing controller requires precise mathematical model of plant, and tuning the parameters of controllers is not simple to implement. Motivated by the gap between theory and practice in control problems, linear active disturbance rejection control (LADRC) ...

A novel model based scheme for the state estimation during anti-lock braking is presented based on a LuGre tyre model and a quarter car model. The wheel angular speed and longitudinal vehicle acceleration information are used to design a nonlinear observer based on the unscented Kalman filter theory. This nonlinear observer provides the necessary information for the anti-lock control despite th...

This paper presents a simplified nonlinear observer for power systems by exploring the special features of the nonlinear power system model. Rather than directly applying the existing nonlinear observer theory to the 6 order nonlinear power system model, the model is first decoupled into a 3 order nonlinear subsystem and a 3 order linear subsystem. Low order observers are designed for each subs...

It has been known that a state equation of a blushless DC motor is a nonlinear one. Recently, new linear state equation and a position and velocity sensorless control system with the full-order observer based on the equation has been proposed. But the pole assignment of the observer has not been presented clearly. In this paper, we propose an adaptive sliding observer for this linear state equa...

In this paper, observer design problem for rectangular discrete-time singular systems with time-varying delay is discussed. Based on restricted system equivalent (RSE) transformations and by introducing new state vectors, the problem is transformed into observer design problem for time-varying delay discrete-time standard state-space systems. By Lyapunov function method and linear matrix inequa...