n this paper, an observer-based adaptive fuzzy-neural control is presented for a class of nonlinear systems with unknown time delays. The state observer is first designed, and then the controller is designed via the adaptive fuzzy-neural control method based on observer states. Both the designed observer and controller are independent of time delays. Using an appropriate LyapunovKrasovskii func...

ph control is a challenging problem due to its highly nonlinear nature. in this paper the performances of two different adaptive global linearizing controllers (glc) are compared. least squares technique has been used for identifying the titration curve. the first controller is a standard glc based on material balances of each species. for implementation of this controller a nonlinear state est...

This paper present a new advanced control algorithm based on continuous minimization of predicted tracking errors, to achieve torque, rotor speed and rotor flux amplitude tracking objectives. This algorithm called a new Adaptive Nonlinear Predictive Control to induction motor drive uses a combination of the adaptive observer for rotor flux and Cascaded Nonlinear Predictive Control technique. Th...

Various faults and disturbances often make the grid unbalanced distorted. To grid-connected converters resilient to distorted grid, real-time estimation of voltage sequences are essential. Adaptive-observer based grid-synchronization techniques very suitable for this purpose. In paper, a comparative analysis three recently proposed adaptive observer-based technique presented frequency sequence ...

The adaptive sliding-mode observer has been widely used to estimate the rotor flux and rotor speed in inverter-fed sensorless induction motor drives. However, the technique requires setting a priori the sliding-mode observer constants and also knowledge of the induction motor parameters. This particular aspect can cause significant errors in the estimation of the rotor speed used in sensorless ...

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...

This work presents an observer-based adaptive control approach for time-delay chaotic systems with uncertainty. The chaotic system is initially expressed with the Takagi-Sugeno (T-S) fuzzy model. The design of the adaptive fuzzy observer is introduced based on the assumptions of chaotic system properties. Next, the design principle is applied to stabilization and tracking problems. Based on Lya...

Based on the techniques of high gain observer and adaptive estimation, an algorithm is proposed in this paper for sensor fault estimation in nonlinear systems. It is essentially assumed that a high gain observer exists for the fault-free system. A high gain adaptive observer is then designed for sensor fault estimation. The convergence of the algorithm is established under a persistent excitati...