Global ETD Search

1	Adaptive estimation theory with real-time implementation Vishwanath, T. G. January 1987 (has links) No description available. 621.3192 Filter adaptive control
2	Walsh functions for the identification and control of nonlinear plants Harkness, John January 1995 (has links) No description available. 629.8 Adaptive control; Models
3	The MCS algorithm for the co-ordinated control of web tension and transport Dye, M. G. January 1995 (has links) No description available. 629.8 Adaptive control
4	General simulation and design tools for control of electro-mechanical systems Atyia, Thamir Hassan January 2000 (has links) No description available. 629.8 Adaptive control schemes
5	Design of a compensated self-tuner for process control Guidoum, A. January 1988 (has links) No description available. 629.8 Adaptive control system
6	Control of servo-hydraulic materials-testing machines Hinton, Christopher Eric January 1992 (has links) No description available. 629.8 Adaptive control
7	Recurrent neural networks : some control aspects Zbikowski, Rafal Waclaw January 1994 (has links) No description available. 629.8 Nonlinear adaptive control
8	Adaptive scheduling for an incremental flexible forging cell / Elbadan, Amr Mohammed. Nye, Timothy Joseph, January 1900 (has links) Thesis (Ph.D.)--McMaster University, 2004. / Supervisor: Dr. Tim Nye. Includes bibliographical references (p. 150-158). Also available via World Wide Web. Forging Adaptive control systems
9	Adaptive dynamic inversion of nonlinear systems subjected to control saturation constraints Tandale, Monish Deepak 17 September 2007 (has links) The adaptive dynamic inversion control methodology uses dynamic inversion to calculate the control, and adaptation to compensate for the errors in the inversion due to model uncertainties. Traditionally, adaptive control assumes full authority control and lacks an adequate theoretical treatment for control in the presence of actuator saturation limits. The objective of this research is to investigate the problems introduced in the adaptive dynamic inversion control scheme due to bounds on the control, and design control strategies to overcome these problems. The unique contribution of this research is that it identifies the maximum possible domain of attraction considering the control position limit, and uses a switching control strategy to contain the plant within the maximum possible domain of attraction. Another novel idea is that of a direction consistent control constraint mechanism which maintains the resultant direction of the rate of change of state the same as that of the desired, even in the presence of control saturation. This research uses a modified adaptation mechanism to prevent incorrect adaptation arising from trajectory errors due to control saturation. Mathematical development of the control laws and the adaptation mechanisms is presented along with rigorous proofs for convergence of the tracking error and stability of the overall control scheme. Finally, numerical simulation results are presented to validate the control methodology. Adaptive Control Control Saturation
10	Adaptive control of lasers and their interactions with matter using femtosecond pulse shaping Efimov, Anatoly, January 2000 (has links) (PDF) Thesis (Ph. D.)--University of Florida, 2000. / Title from first page of PDF file. Document formatted into pages; contains v, 181 p.; also contains graphics. Vita. Includes bibliographical references (p. 165-180). Adaptive control systems.

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