In this paper, we propose a global exponential adaptive observer for a class of uniformly observable nonlinear systems. This observer, based on techniques of high gain, is applied to jointly estimate missing states (rotor flux components) and unknown constant parameters incorporating in their expressions different electric parameters of an asynchronous motor. Finally, the feasibility of the pro...

In this paper a design methodology is proposed to provide a constructive solution to the problem of designing a full order observer for linear time invariant systems subjected to unknown disturbances. Necessary conditions for existence of unknown input observers are stated and solved using generalized matrix inverse. The effect of unknown disturbance present in the system is eliminated from the...

We present a contribution to the study of the problem of semi-global asymptotic stabilization of nonlinear continuous-time systems under data rate constraints when only output measurements are available. We consider systems which are uniformly observable and we point out that the design of an “embedded-observer” decoder and a controller which semi-globally stabilize this class of systems under ...

This work focuses on developing nonlinear multirate model algorithmic controllers for nonlinear processes using a closed-loop observer. Conditions for the observer function and a gain corrector function, which is necessary to ensure that the resulting control structure has integral action, are given. The control action is calculated using the corrected states. The resulting structure is a two-d...

In this paper the problem of inputs in observer design for systems which are not uniformly observable is considered. It is emphasized how it amounts to a control problem, which can be solved in a general way by some appropriate optimization approach. This is illustrated on the basis of a quite general Kalman-like observer form possibly with high gain, as well as related simulation results on an...

In this paper, we investigate the event-triggered consensus problems of nonlinear strict feedback MASs under directed graph. Based on high-gain control technique, firstly give a state-based algorithm and prove that Zeno behavior can be excluded. When full state information is unavailable, observer given to estimate each agent an observer-based developed. Finally, example verify effectiveness bo...

This paper presents a new approach to solve synchronization problem of a large class of discrete chaotic systems. The chaotic systems can be reformulated as an appropriate class of linear parameter varying (LPV) systems. Then, based on the LPV representation, a neural network observer-based approach is proposed to solve the synchronization problem. The simulation results show the advantages of ...

Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Toni Tuovinen Name of the doctoral dissertation Model-Based Position Estimation for Synchronous Reluctance Motor Drives Publisher School of Electrical Engineering Unit Department of Electrical Engineering and Automation Series Aalto University publication series DOCTORAL DISSERTATIONS 86/2014 Field of research Industrial Elect...