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Energy management control strategy to improve the FC/SC dynamic behavior on hybrid electric vehicles: A frequency based distribution

Renewable energy, 2017-05, Vol.105, p.407-418

2017

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Computational cost improvement of neural network models in black box nonlinear system identification

Neurocomputing (Amsterdam), 2015-10, Vol.166, p.96-108

2015

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Simulation of a helicopter’s main gearbox semiactive suspension with bond graphs

Multibody system dynamics, 2017-08, Vol.40 (4), p.375-405

2017

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Neural network design and model reduction approach for black box nonlinear system identification with reduced number of parameters

Neurocomputing (Amsterdam), 2013-02, Vol.101, p.170-180

2013

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Mixed Lp Estimators Variety for Model Order Reduction in Control Oriented System Identification

Mathematical problems in engineering, 2015, Vol.2015

2015

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Maximum Power point Tracking Using P&O Control Optimized by a Neural Network Approach: A Good Compromise between Accuracy and Complexity

Energy procedia, 2013-01, Vol.42 (1), p.650-659

2013

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Robust Black-Box Modeling of Piezoelectric Actuators for Vibration Drilling Control

Journal of intelligent & robotic systems, 2014-12, Vol.76 (3-4), p.385-399

2014

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Balanced simplicity–accuracy neural network model families for system identification

Neural computing & applications, 2015-01, Vol.26 (1), p.171-186

2015

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Piezo-actuators modeling for smart applications

Mechatronics (Oxford), 2011-02, Vol.21 (1), p.339-349

2011

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Generalized discrete event abstraction of continuous systems: GDEVS formalism

Simulation modelling practice and theory, 2006, Vol.14 (1), p.47-70

2006

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Mixed L p Estimators Variety for Model Order Reduction in Control Oriented System Identification

Mathematical problems in engineering, 2015, Vol.2015, p.1-18

2015

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Simulation of a helicopter’s main gearbox semiactive suspension with bond graphs

Multibody system dynamics, 2016-09, Vol.39 (1), p.60-64

2016

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Generalized Discrete Event Abstraction of Continuous Systems: Application to an Integrator

Journal of intelligent & robotic systems, 2004-09, Vol.41 (1), p.37-64

2004

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Mixed [L.sub.p] estimators variety for model order reduction in control oriented system identification.(Research Article)

Mathematical problems in engineering, 2015-01

2015

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Bond Graph Modeling and Simulation of a Vibration Absorber System in Helicopters

Bond Graphs for Modelling, Control and Fault Diagnosis of Engineering Systems, 2017, Vol.332 (1), p.387-429

2017

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Robust modeling of piezoelectric actuators for vibration drilling control

CCCA12, 2012, p.1-6

2012

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1/2 Nonlinear system identification: A balanced accuracy/complexity neural network approach

CCCA12, 2012, p.1-6

2012

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2/2 Training time optimization for balanced accuracy/complexity neural network models

CCCA12, 2012, p.1-6

2012

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Estimation of plate elastic moduli through vibration testing

Applied acoustics, 2007-03, Vol.68 (3), p.334-349

2007

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Active noise control of a duct using robust control theory

IEEE transactions on control systems technology, 2000-11, Vol.8 (6), p.930-938

2000

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Active control of a vibrating beam in milling

2016 UKACC 11th International Conference on Control (CONTROL), 2016, p.1-8

2016

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Robust final prediction error criterion for control oriented models validation using L2 − L1 norm

CCCA12, 2012, p.1-6

2012

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Why robust control is a solution to the narrowband problem in active noise control

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999, Vol.1, p.591-592 vol.1

1999

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Active noise control of a duct using robust control theory

Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 1998, Vol.2, p.1558-1559 vol.2

1998

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SR 144528, the first potent and selective antagonist of the CB2 cannabinoid receptor

The Journal of pharmacology and experimental therapeutics, 1998-02, Vol.284 (2), p.644

1998

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Energy management control strategy to improve the FC/SC dynamic behavior on hybrid electric vehicles: A frequency based distribution

Computational cost improvement of neural network models in black box nonlinear system identification

Simulation of a helicopter’s main gearbox semiactive suspension with bond graphs

Neural network design and model reduction approach for black box nonlinear system identification with reduced number of parameters

Mixed Lp Estimators Variety for Model Order Reduction in Control Oriented System Identification

Maximum Power point Tracking Using P&O Control Optimized by a Neural Network Approach: A Good Compromise between Accuracy and Complexity

Robust Black-Box Modeling of Piezoelectric Actuators for Vibration Drilling Control

Balanced simplicity–accuracy neural network model families for system identification

Piezo-actuators modeling for smart applications

Generalized discrete event abstraction of continuous systems: GDEVS formalism

Mixed L p Estimators Variety for Model Order Reduction in Control Oriented System Identification

Simulation of a helicopter’s main gearbox semiactive suspension with bond graphs

Generalized Discrete Event Abstraction of Continuous Systems: Application to an Integrator

Mixed [L.sub.p] estimators variety for model order reduction in control oriented system identification.(Research Article)

Bond Graph Modeling and Simulation of a Vibration Absorber System in Helicopters

Robust modeling of piezoelectric actuators for vibration drilling control

1/2 Nonlinear system identification: A balanced accuracy/complexity neural network approach

2/2 Training time optimization for balanced accuracy/complexity neural network models

Estimation of plate elastic moduli through vibration testing

Active noise control of a duct using robust control theory

Active control of a vibrating beam in milling

Robust final prediction error criterion for control oriented models validation using L2 − L1 norm

Why robust control is a solution to the narrowband problem in active noise control

Active noise control of a duct using robust control theory

SR 144528, the first potent and selective antagonist of the CB2 cannabinoid receptor

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