Manolis A. Christodoulou
According to our database1,
Manolis A. Christodoulou
authored at least 50 papers
between 1983 and 2013.
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Bibliography
2013
Indirect Adaptive Control of nonlinear Systems Based on Bilinear Neuro-Fuzzy Approximation.
Int. J. Neural Syst., 2013
Bilinear neuro-fuzzy modeling for adaptive approximation and indirect control of nonlinear systems.
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013
2012
Dynamical Recurrent Neuro-Fuzzy Identification Schemes Employing Switching parameter Hopping.
Int. J. Neural Syst., 2012
Using RISE Observer to Implement Patchy Neural Network for the Identification of "Wing Rock" Phenomenon on Slender Delta 80° Wings.
Proceedings of the Engineering Applications of Neural Networks, 2012
2011
Direct adaptive regulation of unknownnonlinear systems with analysis of themodel order problem.
J. Zhejiang Univ. Sci. C, 2011
Int. J. Robotics Autom., 2011
An Observer Approach for Deterministic Learning Using Patchy Neural Networks with Applications to Fuzzy Cognitive Networks.
Int. J. Artif. Life Res., 2011
2010
A New Direct Adaptive regulator with Robustness Analysis of Systems in Brunovsky Form.
Int. J. Neural Syst., 2010
Indirect Adaptive Control of Unknown Multi Variable nonlinear Systems with Parametric and Dynamic Uncertainties Using a New Neuro-Fuzzy System Description.
Int. J. Neural Syst., 2010
2009
A New Neuro-FDS Definition for Indirect Adaptive Control of Unknown Nonlinear Systems Using a Method of Parameter Hopping.
IEEE Trans. Neural Networks, 2009
Adaptive Estimation of Fuzzy Cognitive Maps With Proven Stability and Parameter Convergence.
IEEE Trans. Fuzzy Syst., 2009
Direct Adaptive Control of Unknown Nonlinear Systems Using a New Neuro-Fuzzy Method Together with a Novel Approach of Parameter Hopping.
Kybernetika, 2009
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009
Indirect adaptive control of unknown nonlinear systems with parametric and dynamic uncertainties: A new neuro-fuzzy method, employing a novel approach of parameter hopping.
Proceedings of the 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing, 2009
Proceedings of the Artificial Neural Networks, 2009
Direct adaptive regulation and robustness analysis for systems in Brunovsky form using a new Neuro-Fuzzy method.
Proceedings of the 10th European Control Conference, 2009
A new neuro-fuzzy dynamical system definition based on High Order Neural Network Function approximators.
Proceedings of the 10th European Control Conference, 2009
A new Neuro-Fuzzy method for direct adaptive control of unknown nonlinear systems with robustness analysis.
Proceedings of the 10th European Control Conference, 2009
2008
Collision Avoidance in Commercial Aircraft Free Flight via Neural Networks and Non-Linear Programming.
Int. J. Neural Syst., 2008
On the existence and uniqueness of solutions for the concept values in Fuzzy Cognitive Maps.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
2007
2006
Automatic commercial aircraft-collision avoidance in free flight: the three-dimensional problem.
IEEE Trans. Intell. Transp. Syst., 2006
2005
Quality-Of-Service Adaptive Control Of Multimedia Services In Short-Term Resource Reservation Networks.
Cybern. Syst., 2005
A new method for weight updating in fuzzy cognitive maps using system feedback.
Proceedings of the ICINCO 2005, 2005
A MATLAB Based Simulation Language for Aircraft Ground Handling Operations at Hub Airports (SLAGOM).
Proceedings of the Intelligent Control, 2005
A SIMULINK Based Simulation Language for Aircraft Simulation of Ground Handling Operations at Hub Airports (SSLA).
Proceedings of the Intelligent Control, 2005
2001
IEEE Trans. Control. Syst. Technol., 2001
1999
1998
Correction on 'Dynamical neural networks that ensure exponential identification error convergence'.
Neural Networks, 1998
1997
IEEE Trans. Syst. Man Cybern. Part B, 1997
IEEE Trans. Robotics Autom., 1997
Neural Networks, 1997
1996
IEEE Trans. Image Process., 1996
On Using Recurrent Neural Network Models To Develop Direct Robust Adaptive Regulators For Unknown Systems.
Intell. Autom. Soft Comput., 1996
1995
Direct adaptive regulation of unknown nonlinear dynamical systems via dynamic neural networks.
IEEE Trans. Syst. Man Cybern., 1995
IEEE Trans. Neural Networks, 1995
J. Intell. Robotic Syst., 1995
1994
IEEE Trans. Syst. Man Cybern., 1994
IEEE Trans. Syst. Man Cybern. Syst., 1994
The Boltzmann g-RHONN: A learning machine for estimating unknown probability distributions.
Neural Networks, 1994
1992
A noninverting algorithm for path tracking of two cooperating robot arms and its parallel implementation.
J. Intell. Robotic Syst., 1992
1991
Kybernetika, 1991
1988
1986
1984
An algorithm for the computation of the transfer function matrix for singular systems.
Autom., 1984
1983