All Outputs (124)

Direct design of a U-model-based generalized predictive controller for a class of non-linear (polynomial) dynamic plants (2012)
Journal Article

Facing the big challenge of directly designing a generalized predictive controller (GPC) for a class of smooth non-linear dynamic plants described with polynomial models, this study reformulates the classical GPC into a U-model-based implementation.... Read More about Direct design of a U-model-based generalized predictive controller for a class of non-linear (polynomial) dynamic plants.

Robust H2 power system stabilizer design using LMI techniques (2011)
Presentation / Conference Contribution

U-model-based adaptive control for a class of stochastic non-linear dynamic plants with unknown parameters (2011)
Journal Article

In this paper, an adaptive control algorithm within a U-model framework is developed for controlling a class of stochastic non-linear discrete-time models with unknown parameters. With the authors' previous justification, the control-oriented model n... Read More about U-model-based adaptive control for a class of stochastic non-linear dynamic plants with unknown parameters.

Stabilization for a class of uncertain multi-time delays system using slide mode controller (2011)
Journal Article

Robust controller design survey for damping low frequency oscillations in power systems (2011)
Presentation / Conference Contribution

A correlation test-based validity monitoring procedure for online detecting the quality of nonlinear adaptive noise cancellation (2010)
Journal Article

In the present study, a new correlation test-based nonlinear adaptive noise cancellation (ANC) validity monitoring procedure is proposed by following the insight and formulations which were developed by the authors for validating identified nonlinear... Read More about A correlation test-based validity monitoring procedure for online detecting the quality of nonlinear adaptive noise cancellation.

A generalized procedure in designing recurrent neural network identification and control of time-varying-delayed nonlinear dynamic systems (2010)
Journal Article

In this study, a generalized procedure in identification and control of a class of time-varying-delayed nonlinear dynamic systems is developed. Under the framework, recurrent neural network is developed to accommodate the on-line identification, whic... Read More about A generalized procedure in designing recurrent neural network identification and control of time-varying-delayed nonlinear dynamic systems.

Robust finite-time control approach for robotic manipulators (2010)
Journal Article

In this study, a new robust finite-time stability control approach for robot systems is developed based on finite-time Lyapunov stability principle and proved with backstepping method. The corresponding stability analysis is presented to lay a founda... Read More about Robust finite-time control approach for robotic manipulators.

Accumulative drift model of inertial platform under high frequency linear vibration (2010)
Journal Article

In this study a simplified accumulative drift model is developed to describe the operation of inertial platform under high frequency linear vibration. By featuring the accumulative, rather than instant effect of vibration on the drift of the inertial... Read More about Accumulative drift model of inertial platform under high frequency linear vibration.

Hilbert huang transform impedance measurement data for cellular toxicity monitoring (2009)
Presentation / Conference Contribution

This paper investigates the Hilbert-Huang transformation (HHT), which is adaptive analysis of nonlinear and non-stationary signals. The aim of this study is to apply HHT to impedance measurement data analysis in order to discriminate different types... Read More about Hilbert huang transform impedance measurement data for cellular toxicity monitoring.

A correlation-test-based validation procedure for identified neural networks (2009)
Journal Article

In this study, an enhanced correlation-test-based validation procedure is developed to check the quality of identified neural networks in modeling of nonlinear systems. The new computation algorithm upgrades the validation power by including a direct... Read More about A correlation-test-based validation procedure for identified neural networks.

Accumulative drift model of inertial platform under high frequency linear vibration (2009)
Presentation / Conference Contribution

Development of a new EDRNN procedure in control of human arm trajectories (2008)
Journal Article

In this paper the trajectory tracking control of a human arm moving on the sagittal plane is investigated by an interdisciplinary approach with the combination of neural network mapping, evolutionary computation, and dynamic system control. The arm i... Read More about Development of a new EDRNN procedure in control of human arm trajectories.

Adaptive observer-based non-linear stochastic system control with sliding mode schemes (2008)
Journal Article

In this paper, an adaptive sliding mode observer is designed to reconstruct the states of non-linear stochastic systems with uncertainties from the measurable system output and the reconstructed states are employed to construct a sliding mode control... Read More about Adaptive observer-based non-linear stochastic system control with sliding mode schemes.

Development of omni-directional correlation functions for nonlinear model validation (2007)
Journal Article

In the present study a set of first order correlation functions are proposed to examine the quality of a wide class of identified nonlinear models. The first order correlation functions, defined as omni-directional correlation functions, are integrat... Read More about Development of omni-directional correlation functions for nonlinear model validation.

Stable adaptive neurocontrol for nonlinear discrete-time systems (2004)
Journal Article

This paper presents a novel approach in designing neural network based adaptive controllers for a class of nonlinear discrete-time systems. This type of controllers has its simplicity in parallelism to linear generalized minimum variance (GMV) contro... Read More about Stable adaptive neurocontrol for nonlinear discrete-time systems.

A fast convergent extended Kalman observer for nonlinear discrete-time systems (2002)
Journal Article

A new extended Kalman observer for nonlinear discrete-time systems is derived. As always, stability and convergence rate depend directly on the matrices Qk and Rk and the initial state estimation error, the new observer has made improvement on these... Read More about A fast convergent extended Kalman observer for nonlinear discrete-time systems.

A pole placement controller for nonlinear dynamic plants (2002)
Journal Article

In this study a control-oriented model is proposed to represent a wide range of non-linear discrete-time dynamic plants. As a testimony to the efficiency of the model structure for control system design, a pole placement controller is designed for no... Read More about A pole placement controller for nonlinear dynamic plants.

A neural network enhanced generalised minimum variance self tuning PID control algorithm for complex dynamic systems (2002)
Journal Article

Urine flow rate shape template and intermittent flow in males
Presentation / Conference Contribution

Uroflowmetry serves as a preliminary urodynamic test for physicians to indicate the possible cause of lower urinary tract symptoms. Alongside the most researched parameter maximum flow rate (Qmax), the shape of urine flow rate curve is also reported... Read More about Urine flow rate shape template and intermittent flow in males.