Browsing Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics by Subject "Neural networks"

Conference Object

Adaptive bounding techniques for stable neural control systems

Polycarpou, Marios M.; Ioannou, Petros A. (IEEE, 1995)

This paper considers the design of stable adaptive neural controllers for uncertain nonlinear dynamical systems with unknown nonlinearities. The Lyapunov synthesis approach is used to develop state-feedback adaptive control ...

Conference Object

Adaptive disturbance rejection for disk drives using neural networks

Levin, J.; Pérez Arancibia, N. O.; Ioannou, Petros A.; Tsao, T. -C (2008)

This paper presents the experimental verification of an adaptive feedforward disturbance rejection scheme for hard disk drives. The control scheme is shown to reduce the error during track-following by as much as 11.8%. ...

Article

Adaptive mode-suppression and disturbance-rejection scheme with application to disk drives

Levin, J.; Ioannou, Petros A. (2009)

The goal of a track-following controller for a disk drive is to maintain as close to perfect tracking as possible. Better tracking allows for more data to be stored on a single disk. There are several factors which make ...

Article

Adaptive sliding mode control design for a hypersonic flight vehicle

Xu, H.; Mirmirani, M. D.; Ioannou, Petros A. (2004)

A multi-input/multi-output adaptive sliding controller is designed and analyzed for the longitudinal dynamics of a generic hypersonic air vehicle. This vehicle model is nonlinear, multivariable, and unstable and includes ...

Article

Control techniques for a large segmented reflector

Li, K.; Kosmatopoulos, E. B.; Ioannou, Petros A.; Boussalis, Helen R.; Mirmirani, M.; Chassiakos, Anastassios (1998)

NASA has founded a project to design and construct a test-bed in the Controls and Structures Laboratory at the California State University to study the complex dynamic behavior of large segmented optical systems. The ...

Article

Dynamical neural networks that ensure exponential identification error convergence

Kosmatopoulos, E. B.; Christodoulou, Manolis A.; Ioannou, Petros A. (1997)

Classical adaptive and robust adaptive schemes, are unable to ensure convergence of the identification error to zero, in the case of modeling errors. Therefore, the usage of such schemes to 'black-box' identification of ...

Conference Object

Identification and control of aircraft dynamics using radial basis function networks

Ahmed-Zaid, F.; Ioannou, Petros A.; Polycarpou, Marios M.; Youssef, H. M. (Publ by IEEE, 1993)

In this paper, we investigate one type of neural networks, namely the Radial Basis Functions (RBF) networks, and apply them to the identification and control problems of an aircraft system. The RBF network is used as an ...

Conference Object

Learning laws exponential error convergence for recurrent neural networks

Kosmatopoulos, Elias B.; Christodoulou, Manolis A.; Ioannou, Petros A. (Publ by IEEE, 1993)

In this paper, we propose new learning laws for adjusting the weights of recurrent high order neural networks (RHONN) when they are used to system identification problems. The main advantages of these learning laws over ...

Conference Object

Modelling, identification and stable adaptive control of continuous-time nonlinear dynamical systems using neural networks

Polycarpou, Marios M.; Ioannou, Petros A. (Publ by American Automatic Control Council, 1992)

Several empirical studies have demonstrated the feasibility of employing neural networks as models of nonlinear dynamical systems. This paper develops the appropriate mathematical tools for synthesizing and analyzing stable ...

Conference Object

Neural network control of unknown systems

Kosmatopoulos, Elias B.; Chassiakos, Anastassios; Boussalis, Helen R.; Mirmirani, Maj; Ioannou, Petros A. (IEEE, 1998)

In this paper, we show that for all unknown Multi-Input (MI) nonlinear system that affected by external disturbances, it is possible to construct a semi-global state-feedback stabilizer when the only information about the ...

Article

A neural-networks-based adaptive disturbance rejection method and its application to the control of hard disk drives

Levin, J.; Pérez-Arancibia, N. O.; Ioannou, Petros A.; Tsao, T. -C (2009)

This paper presents a neural-networks-based disturbance rejection adaptive scheme for dealing with repeatable and nonrepeatable runout simultaneously. The effectiveness of this method is demonstrated empirically on a ...

Article

Robust adaptive control for a class of MIMO nonlinear systems with guaranteed error bounds

Xu, H.; Ioannou, Petros A. (2003)

The design of stabilizing controllers for multiple-input-multiple-output (MIMO) nonlinear plants with unknown nonlinearities is a challenging problem. The high dimensionality coupled with the inability to identify the ...

Article

Robust adaptive control of linearizable nonlinear single input systems with guaranteed error bounds

Xu, H.; Ioannou, Petros A. (2004)

In this paper, a nonlinear robust adaptive control algorithm is designed and analyzed for a class of single-input nonlinear systems with unknown nonlinearities. The controller employs a single layer neural network to ...

Conference Object

Robust adaptive sliding control of linearizable systems

Xu, H.; Mirmirani, M.; Ioannou, Petros A.; Boussalis, Helen R. (2001)

A switching adaptive control algorithm based on a sliding mode method is proposed for a class of single-input, single-output nonlinear systems with unknown dynamics. The plant is assumed to be linear-in-the-control input ...

Conference Object

Surface failure detection for an F/A-18 aircraft using neural networks and fuzzy logic

Raza, H.; Ioannou, Petros A.; Youssef, H. M. (IEEE, 1994)

In this paper we consider the problem of detecting control surface failures of a high performance aircraft. The detection model is developed using a linear, six degree of freedom dynamic model of an F/A-18 aircraft. The ...