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  • 1
    Electronic Resource
    Electronic Resource
    Disturbance rejecting optimal regulation of hyperbolic systems (1995)
    Springer
    Mathematics of control, signals, and systems 8 (1995), S. 241-256 
    Details
    ISSN: 1435-568X
    Keywords: Robust control ; H ∞ control ; Disturbance rejection ; Hyperbolic systems ; Optimal control
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology , Mathematics , Technology
    Notes: Abstract Optimal regulation of hyperbolic systems in the presence of unknown exogenous and initial disturbances is considered. Necessary conditions for determining the optimal control that tracks a desired trajectory in the presence of disturbances are developed. These necessary conditions have the form of a twopoint boundary-value problem along with certain equality and inequality conditions. The results also characterize the worst possible disturbances that are accommodated by the optimum controller without any serious performance degradation. Numerical results on the control of a vibrating beam are presented.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01211861
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Optimal Temperature Tracking for Accelerated Cooling Processes in Hot Rolling of Steel (1997)
    Springer
    Dynamics and control 7 (1997), S. 327-340 
    Details
    ISSN: 1573-8450
    Keywords: optimal control ; accelerated cooling ; steel manufacturing ; parameter optimization
    Source: Springer Online Journal Archives 1860-2000
    Topics: Electrical Engineering, Measurement and Control Technology
    Notes: Abstract This paper is concerned with the development of a control system for tracking of a desired temperature-time profile for accelerated cooling processes in hot rolling of steel. Control of temperature during cooling is essential for achieving desired mechanical and metallurgical properties of steel. The cooling process is represented by the heat equation in Lagrangian coordinates which is approximated by a set of ordinary differential equations. The control variable is the velocity of coolant water flow. Motivated by the fact that in many steel industries water flow is adjusted to some fixed velocity based on experience and heuristics, we assume that the control variable, water jet velocity, be a constant time invariant parameter. Gamkrelidze minimum principle is used to determine the optimal jet velocity for the desired temperature tracking. The results are illustrated by simulation examples.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008268310234
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    Paper (German National Licenses)
    Fulltext
  • 3
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    Neural networks for sinusoidal frequency estimation (1997)
    Elsevier
    Details
    Publication Date: 1997-01-01
    Print ISSN: 0016-0032
    Electronic ISSN: 1879-2693
    Topics: Mathematics , Technology
    Published by Elsevier
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    PAPER CURRENT
  • 4
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    Optimal disturbance rejecting control of hyperbolic systems (1994)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: Optimal regulation of hyperbolic systems in the presence of unknown disturbances is considered. Necessary conditions for determining the optimal control that tracks a desired trajectory in the presence of the worst possible perturbations are developed. The results also characterize the worst possible disturbance that the system will be able to tolerate before any degradation of the system performance. Numerical results on the control of a vibrating beam are presented.
    Keywords: CYBERNETICS
    Type: NASA. Langley Research Center, NASA Workshop on Distributed Parameter Modeling and Control of Flexible Aerospace Systems; p 317-322
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 5
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    An intelligent control system for failure detection and controller reconfiguration (1994)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: We present an architecture of an intelligent restructurable control system to automatically detect failure of system components, assess its impact on system performance and safety, and reconfigure the controller for performance recovery. Fault detection is based on neural network associative memories and pattern classifiers, and is implemented using a multilayer feedforward network. Details of the fault detection network along with simulation results on health monitoring of a dc motor have been presented. Conceptual developments for fault assessment using an expert system and controller reconfiguration using a neural network are outlined.
    Keywords: CYBERNETICS
    Type: NASA. Goddard Space Flight Center, The 1994 Goddard Conference on Space Applications of Artificial Intelligence; p 285-291
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 6
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    Stabilization of large space structures by linear reluctance actuators (1991)
    In:  CASI
    Details
    Publication Date: 2013-08-31
    Description: Application of magnetic forces are considered for stabilization of vibrations of flexible space structures. Three electromagnetic phenomena are studied, such as: (1) magnetic body force; (2) reluctance torque; and (3) magnetostriction, and their application is analyzed for stabilization of a beam. The magnetic body force actuator uses the force that exists between poles of magnets. The reluctance actuator is configured in such a way that the reluctance of the magnetic circuit will be minimum when the beam is straight. Any bending of the beam increases the reluctance and hence generates a restoring torque that reduces bending. The gain of the actuator is controlled by varying the magnetizing current. Since the energy density of a magnetic device is much higher compared to piezoelectric or thermal actuators, it is expected that the reluctance actuator will be more effective in controlling the structural vibrations.
    Keywords: SPACECRAFT DESIGN, TESTING AND PERFORMANCE
    Type: NASA. Langley Research Center, Fourth NASA Workshop on Computational Control of Flexible Aerospace Systems, Part 1; p 15-21
    Format: application/pdf
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    NASA TECHNICAL REPORTS
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