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We study in this paper the problem of adaptive trajectory tracking control for nonlinear systems affine in the control with time-varying parametric uncertainties. We propose to use a modular approach, in the sense that we first design a robust nonlinear state feedback which renders the closed loop input to state stable (ISS) between an estimation error of the uncertain parameters and an output tracking...
In this paper, a new adaptive controller is proposed for ultra-local model based control. The concept is based on the algebraic derivation techniques to estimate the two ultra-local model parameters. A comparison study with the control method of Fliess-Join which is based on some elementary differential algebra is developed. The robustness of the ultra-local model controllers with respect to noises,...
The purpose of this paper is to study the influence of harmonics generated by a rectifier and a DC/DC converter on a robust and low-cost structure generator connected to an isolated load for wind applications. The machine used to convert mechanical power into electric power is a hybrid excitation synchronous generator (HESG). In this machine, the excitation flux is created by both permanent magnets...
In this paper, the synchronization of Hindmarsh-Rose (HR) neural networks is considered. In order to overcome chattering problem, the major drawback of sliding mode control, linear active disturbance rejection control (LADRC) is employed. Extended state observer, key part of LADRC, is able to estimate and compensate disturbances in real time, which can suppress the chattering of sliding mode control...
Robust optimization, as a powerful paradigm for optimization under uncertainty, has recently attracted increasing attention in power system operations. In particular, adaptive robust optimization models have been proposed for the day-ahead unit commitment as well as real-time economic dispatch problems in power systems with a high penetration level of renewable energy sources. In this paper, we review...
It is seen that methodology for diagnosis of uncertain systems using the Bond Graph (BG) model in Linear Fractional Transformation (LFT) form is an effective way to detect the fault by systematic generation of robust adaptive thresholds over the nominal residuals. There are limitations associated, many of which are imposed due to the manner uncertain parameters can be treated. In this work, a new...
A property for a class of systems is said to be structural if it is met by any system in the class regardless of the adopted parameters. In this paper we investigate the structural nature of oscillatory behaviors, adaptation and monotonicity in a class of sign-invariant systems, capturing a wide variety of biological models. We employ standard robustness analysis tools, suitably tailored to the category...
In speaker verification, score normalization methods are a common practice to gain better performance and robustness. One kind of score normalization is cohort normalization, which uses information about the score behaviour of known impostors. During enrolment, impostor verifications are simulated to get a speaker-specific set of the most competitive impostors (the cohort). In the present paper, one...
Neuromorphic realizations of the short-term dynamics at a synapse often use simplistic circuit models. In this paper, we present a more biologically realistic VLSI implementation of these mechanisms. Our circuit approach is analytically derived from a model of neurotransmitter release, so that it can be directly related to simulation results and biological measurements. We present a reduced implementation...
One of the most important problems in visual tracking is how to incrementally update the appearance model because the appearance of a target object can be easily changed with time when the target is a deformable object or it is moving under varying illumination conditions. To solve these problems, we present a Rao-Blackwellized particle filter (RBPF)-based object tracking algorithm with the adaptive...
Influenza is a pandemic disease which has the ability to mutation and adaptation with different conditions of environment. Through this approach, influenza has been able to overcome the Immune System (IS) and to kill thousands of people all around the world. A model based on the approach of influenza and according to the OODA (Observation-Orientation-Decision-Action) control loop has been introduced...
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