The problem of state reconstruction from input and output measurements for nonlinear time delay systems is studied in this paper and a state observer is proposed that is easy to implement and, under suitable assumptions on the system and on the input function, gives exponential observation error decay. The proposed observer is itself a delay system and can be classi ̄ed as an identity observer, ...

With the rising complexity of dynamical systems generating ever more data, learning dynamics models appears as a promising alternative to physics-based modeling. However, data available from physical platforms may be noisy and not cover all state variables. Hence, it is necessary jointly perform estimation. In this letter, we propose interconnecting high-gain observer framework, specifically Ga...

Adaptive observers were first introduced by Carroll and Lindorff in [1], and later on modified by Kudva and Narendra in [2]. For a more detailed analysis and design of adaptive systems see [3], [4], [5]. In many applications where the parameters are unknown and states are not accessible, adaptive observer appears to be a valuable method in estimation of both parameters and states of the system....

An H 2 suboptimal control problem is deened and analyzed. Then an algorithm called`H 2 suboptimal state feedback gain sequence' (H 2 SOSFGS) algorithm is developed. Rather than utilizing a `perturbation method' which is numerically stii and computationally prohibitive, the H 2 SOSFGS algorithm utilizes a direct eigenvalue assignment method to come up with a sequence of H 2 suboptimal state feed...

This paper introduces a new approach to output feedback stabilization of SISO systems which, unlike other techniques found in the literature, does not use quasi-linear high-gain observers and control input saturation to achieve separation between the state feedback and observer designs. Rather, we show that by using nonlinear high-gain observers working in state coordinates, together with a dyn...

An infinite-bound stabilization of a system modeled as singularly perturbed bilinear systems is examined. First, we present Lyapunov equation approach for the all ε∈(0, ∞). The method based on stability theorem. state feedback constant gain can be determined from admissible region convex polygon. Secondly, extend this technique to study observer and observer-based controller Concerning problem,...

In this paper, an intermediate observer is proposed for simultaneously estimating the system state, actuator fault and sensor fault. The necessary sufficient condition given with respect to existence of designed observer. gain matrix guaranteed through solving Riccati inequalities. estimation errors are proved be globally uniformly stable prescribed performance index. Finally, a simulation stud...

Aimed at the problems of system chattering and large observation errors in sensorless control a permanent magnet synchronous motor (PMSM) based on traditional sliding mode observer (SMO), combined reaching law algorithm exponential arcsine saturation function is proposed to improve observer. An appropriate positive real number taken compared with product controller gain stator current error jud...

A convergence analysis of the modified unscented Kalman filter (UKF), used as an observer for a class nonlinear deterministic continuous time systems, is presented. Under certain conditions, extended (EKF) exponential non-linear i.e., dynamics estimation error exponentially stable. It shown that unlike EKF, UKF not converging observer. modification – proposed, which better candidate This paper ...

In this paper the problem of robust fault detection using an interval observer for dynamic systems characterized by LPV (Linear Parameter Varying) models is presented. The observer face the robustness problem using two complementary strategies. Parametric modeling uncertainties are considered unknown but bounded by intervals. Their effect is addressed using an interval state observation method ...