The Experts below are selected from a list of 303 Experts worldwide ranked by ideXlab platform

S Banks - One of the best experts on this subject based on the ideXlab platform.

  • Robust Weapon Control Systems Design
    1992 American Control Conference, 1992
    Co-Authors: M Mattice, Nick Coleman, S Banks, J. C. Juang
    Abstract:

    In this paper, three robust Control Design methods including linear quadratic Gaussian/loop transfer recovery (LQG/LTR), generalized singular linear quadratic (GSLQ), and H∞ Design are applied to an experimental gun-turret testbed. The Design results are assessed and compared.

  • High-precision nonlinear, adaptive, robust weapon Control Systems Design
    Proceedings of the A merican C ontrol C onference, 1992
    Co-Authors: Nick Coleman, M Mattice, S Banks
    Abstract:

    This paper summarizes the Design objectives and approaches of the\nweapon Control Design presented in the {I}nvited {S}ession {WA}12\non {A}dvanced {W}eapon {C}ontrol {T}echnology. {T}o Design a high-precision,\nhigh-bandwidth, and reliable weapon Control system, several Design\napproaches and their integration are investigated. {T}his includes\nrobust Control Design to account for unmodeled dynamics inherent\nin the gun-turrent system; adaptive-intelligent Control to address\nparameter variations; nonlinear Control Design to accommodate hard\nnonlinearities; robotic modeling to lead to a comprehensive model;\ndigital Control for real-time Control realization and phototyping;\nand target acquisition to furnish gun pointing and guidance information.\n{T}hrough these endeavors and their integrations, the effectiveness\nof weapon pointing Systems are expected to be improved.

Nick Coleman - One of the best experts on this subject based on the ideXlab platform.

  • Robust Weapon Control Systems Design
    1992 American Control Conference, 1992
    Co-Authors: M Mattice, Nick Coleman, S Banks, J. C. Juang
    Abstract:

    In this paper, three robust Control Design methods including linear quadratic Gaussian/loop transfer recovery (LQG/LTR), generalized singular linear quadratic (GSLQ), and H∞ Design are applied to an experimental gun-turret testbed. The Design results are assessed and compared.

  • High-precision nonlinear, adaptive, robust weapon Control Systems Design
    Proceedings of the A merican C ontrol C onference, 1992
    Co-Authors: Nick Coleman, M Mattice, S Banks
    Abstract:

    This paper summarizes the Design objectives and approaches of the\nweapon Control Design presented in the {I}nvited {S}ession {WA}12\non {A}dvanced {W}eapon {C}ontrol {T}echnology. {T}o Design a high-precision,\nhigh-bandwidth, and reliable weapon Control system, several Design\napproaches and their integration are investigated. {T}his includes\nrobust Control Design to account for unmodeled dynamics inherent\nin the gun-turrent system; adaptive-intelligent Control to address\nparameter variations; nonlinear Control Design to accommodate hard\nnonlinearities; robotic modeling to lead to a comprehensive model;\ndigital Control for real-time Control realization and phototyping;\nand target acquisition to furnish gun pointing and guidance information.\n{T}hrough these endeavors and their integrations, the effectiveness\nof weapon pointing Systems are expected to be improved.

M Mattice - One of the best experts on this subject based on the ideXlab platform.

  • Robust Weapon Control Systems Design
    1992 American Control Conference, 1992
    Co-Authors: M Mattice, Nick Coleman, S Banks, J. C. Juang
    Abstract:

    In this paper, three robust Control Design methods including linear quadratic Gaussian/loop transfer recovery (LQG/LTR), generalized singular linear quadratic (GSLQ), and H∞ Design are applied to an experimental gun-turret testbed. The Design results are assessed and compared.

  • High-precision nonlinear, adaptive, robust weapon Control Systems Design
    Proceedings of the A merican C ontrol C onference, 1992
    Co-Authors: Nick Coleman, M Mattice, S Banks
    Abstract:

    This paper summarizes the Design objectives and approaches of the\nweapon Control Design presented in the {I}nvited {S}ession {WA}12\non {A}dvanced {W}eapon {C}ontrol {T}echnology. {T}o Design a high-precision,\nhigh-bandwidth, and reliable weapon Control system, several Design\napproaches and their integration are investigated. {T}his includes\nrobust Control Design to account for unmodeled dynamics inherent\nin the gun-turrent system; adaptive-intelligent Control to address\nparameter variations; nonlinear Control Design to accommodate hard\nnonlinearities; robotic modeling to lead to a comprehensive model;\ndigital Control for real-time Control realization and phototyping;\nand target acquisition to furnish gun pointing and guidance information.\n{T}hrough these endeavors and their integrations, the effectiveness\nof weapon pointing Systems are expected to be improved.

J. C. Juang - One of the best experts on this subject based on the ideXlab platform.

  • Robust Weapon Control Systems Design
    1992 American Control Conference, 1992
    Co-Authors: M Mattice, Nick Coleman, S Banks, J. C. Juang
    Abstract:

    In this paper, three robust Control Design methods including linear quadratic Gaussian/loop transfer recovery (LQG/LTR), generalized singular linear quadratic (GSLQ), and H∞ Design are applied to an experimental gun-turret testbed. The Design results are assessed and compared.

Y. Li - One of the best experts on this subject based on the ideXlab platform.

  • Real-time Control Systems Design using a high speed rapid response systolic array
    29th IEEE Conference on Decision and Control, 1990
    Co-Authors: E. Rogers, Y. Li
    Abstract:

    Systolic wavefront array architectures for real-time digital Control system Design are considered. Described is the development of word-level systolic and and wavefront architectures for recursive filtering and on-line feedback Control schemes. Each of these arrays uses only one type of cell and has the same array configuration. These offer a word-level shortest processing delay (or system latency) of one cycle, while retaining a very high throughput rate, and hence are applicable to real-time feedback Control engineering problems.