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Algorithms for joint state and parameter estimation in induction motor drive systems
Concerns the problem of design of algorithms for joint state and parameter estimation of induction motor drive systems. The joint estimation problem is nonlinear and time-varying. A generalExpand
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Robust parameter estimation and output prediction for reactive carrier-load nonlinear dynamic networks
TLDR
In this paper an extension of on-line model simplification technique for a class of networked systems, namely reactive carrier-load nonlinear dynamic networked system (RCLNDNS), kept within point-parametric model (PPM) framework is addressed. Expand
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Shaft speed, load torque and rotor flux estimation of induction motor drive using an extended Luenberger observer
A high-performance induction motor drive needs the signals of shaft speed and rotor flux. Flux signals are approached commonly in a way of calculation while the speed is mostly obtained by directExpand
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Recurrent networks for nonlinear adaptive control
Design of control techniques for nonlinear systems, where state measurement is not available, still poses a major challenge. Recent successful applications of static neural networks for controlExpand
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An integrated system optimization and parameter estimation technique for hierarchical control of steady-state systems
This paper presents computer simulation results of an optimal adaptive algorithm (Brdyś and Roberts 1984) and develops a double iterative alternative. Both algorithms are optimal in the sense thatExpand
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Convergence and optimality of modified two-step algorithm for integrated system optimization and parameter estimation
This paper investigates convergence and optimality properties of the modified two-step algorithm for on-line determination of the optimum steady-state operating point of an industrial process. MildExpand
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An extension to the modified two-step algorithm for steady-state system optimization and parameter estimation
This paper presents an extension to the modified two-step algorithm for determining the optimum steady-state operating condition of a system. The new version of the algorithm gives a fasterExpand
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Recurrent Networks for Nonlinear Adaptive Control
Abstract An adaptive control technique for nonlinear plants with unmeasurable state is presented. It is based on a recurrent neural network employed as a dynamical model of the plant. Using thisExpand
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Integrated System Optimisation and Parameter Estimation for Travelling Load Furnace Control
Abstract This paper describes an extension of the Integreated System Optimisation and Parameter Estimation (ISOPE) technique developed by Roberts (1978) for steady-state systems to a batch dynamicExpand
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