The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform

F Zhao - One of the best experts on this subject based on the ideXlab platform.

  • Phase-space Control System Design
    IEEE Control Systems Magazine, 1993
    Co-Authors: Elizabeth Bradley, F Zhao
    Abstract:

    A computational environment has been developed to aid Control System Design for a particular class of nonlinear applications. The analysis and Design tools constituting this environment are based on knowledge about phase-space dynamics of nonlinear and chaotic Systems. Two implemented, complementary programs that exploit the special properties of such Systems to synthesize powerful Control Systems automatically are described. Fast computers and powerful computational techniques that combine symbolic/numeric and algebraic/geometric computing with new reasoning mechanisms from artificial intelligence make this paradigm feasible, in spite of its inherent computational demands. >

  • Phase-space Control System Design
    IEEE Symposium on Computer-Aided Control System Design, 1992
    Co-Authors: Elizabeth Bradley, F Zhao
    Abstract:

    A computational environment that has been developed to aid Control System Design for a particular class of nonlinear applications is described. The analysis and Design tools that comprise this environment are based on knowledge about phase-space dynamics of nonlinear and chaotic Systems. Two implemented, complementary programs that exploit the special properties of such Systems to automatically synthesize powerful Control Systems are presented. Phase Space Navigator visualizes phase-space dynamics through flow pipes and navigates Systems along automatically synthesized reference trajectories. Perfect Moment identifies and uses chaotic phase-space features like strange attractors in its segmented Control trajectories, gaining otherwise unobtainable performance.

Elizabeth Bradley - One of the best experts on this subject based on the ideXlab platform.

  • Phase-space Control System Design
    IEEE Control Systems Magazine, 1993
    Co-Authors: Elizabeth Bradley, F Zhao
    Abstract:

    A computational environment has been developed to aid Control System Design for a particular class of nonlinear applications. The analysis and Design tools constituting this environment are based on knowledge about phase-space dynamics of nonlinear and chaotic Systems. Two implemented, complementary programs that exploit the special properties of such Systems to synthesize powerful Control Systems automatically are described. Fast computers and powerful computational techniques that combine symbolic/numeric and algebraic/geometric computing with new reasoning mechanisms from artificial intelligence make this paradigm feasible, in spite of its inherent computational demands. >

  • Phase-space Control System Design
    IEEE Symposium on Computer-Aided Control System Design, 1992
    Co-Authors: Elizabeth Bradley, F Zhao
    Abstract:

    A computational environment that has been developed to aid Control System Design for a particular class of nonlinear applications is described. The analysis and Design tools that comprise this environment are based on knowledge about phase-space dynamics of nonlinear and chaotic Systems. Two implemented, complementary programs that exploit the special properties of such Systems to automatically synthesize powerful Control Systems are presented. Phase Space Navigator visualizes phase-space dynamics through flow pipes and navigates Systems along automatically synthesized reference trajectories. Perfect Moment identifies and uses chaotic phase-space features like strange attractors in its segmented Control trajectories, gaining otherwise unobtainable performance.

Grantham K. H. Pang - One of the best experts on this subject based on the ideXlab platform.

  • Control System Design Automation for Mechanical Systems
    Journal of Intelligent and Robotic Systems, 1998
    Co-Authors: Kiyoshi Maekawa, Grantham K. H. Pang
    Abstract:

    In this paper, a user-friendly and comprehensive Control System Design package called Control System Design Automation (CSDA) is described. The System consists of five main blocks: a requirement interpretation block, a modeling block, an analysis/Design block, a database management and knowledge base block, and a verification block. The requirement interpretation block transforms the specifications in terms of the application to those in terms of Control. The analysis/Design block selects an optimal Control structure and determines the Controller parameters. In addition to the conventional Design methods, CSDA also contains the more recent Design methods such as the LMI Design approach and the Kessler/Manabe method. The LMI approach can obtain a Controller which satisfies multiple specification items at the same time. The configuration of the System as well as the analysis/Design block are described in detail in this paper.

  • Intelligent process-Control System Design
    Engineering Applications of Artificial Intelligence, 1992
    Co-Authors: Grantham K. H. Pang
    Abstract:

    Abstract The use of expert Systems has vast potential in an intelligent process-Control System. In this paper, the issue of process-Control System Design using a knowledge-based approach is discussed. Expert-System techniques have been used for the Design of Controllers for process-Control Systems. The expert System is developed in conjunction with the successful application of a Systematic Design approach. Design knowledge has been represented using rules, facts and frames. The Design process consists of a sequence of operations obtained by heuristics and experience in the Design techniques.

  • A knowledge environment form an interactive Control System Design package
    Automatica, 1992
    Co-Authors: Grantham K. H. Pang
    Abstract:

    Abstract This paper describes a generic expert System development environment in a computer-aided Control System package called SFPACK. The basic command language of the package follows the well-known MATLAB syntax. However, SFPACK has evolved from the MATLAB-derived Control environment to a new generation of Control System Design environment because of the novel knowledge environment developed within the package. SFPACK now supports a richer set of data structures for representing Design objects and knowledge in the Control environment. In this paper, the features of the knowledge environment is presented. The issue on coupling of symbolic and numeric processing is also discussed. An expert System for Control System Design is developed in this integrated environment.

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

  • The virtual input approach to direct data-based Control System Design: some simulation studies
    Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2001
    Co-Authors: G.o. Guardabassi, S.m. Savaresi
    Abstract:

    The virtual input approach to direct data-based Control System Design is a new technique by which the Control System Design is carried into a Controller identification problem; namely into the problem of identifying the best suited Controller, out of a given class. Thus, the standard indirect path consisting of plant identification followed by model-based Control System Design is fully avoided. In the paper, the virtual input approach is shortly outlined; then three cases are described and briefly discussed. Specifically, the considered plants are: a robotic arm with flexible joint, a synchronous generator connected to an infinite bus, and a flexible transmission System.

Mary Ann Piette - One of the best experts on this subject based on the ideXlab platform.

  • Control System Design guide
    2003
    Co-Authors: David Sellers, Hannah Friedman, Tudi Haasl, Norman Bourassa, Mary Ann Piette
    Abstract:

    The ''Control System Design Guide'' (Design Guide) provides methods and recommendations for the Control System Design process and Control point selection and installation. Control Systems are often the most problematic System in a building. A good Design process that takes into account maintenance, operation, and commissioning can lead to a smoothly operating and efficient building. To this end, the Design Guide provides a toolbox of templates for improving Control System Design and specification. HVAC Designers are the primary audience for the Design Guide. The Control Design process it presents will help produce well-Designed Control Systems that achieve efficient and robust operation. The spreadsheet examples for Control valve schedules, damper schedules, and points lists can streamline the use of the Control System Design concepts set forth in the Design Guide by providing convenient starting points from which Designers can build. Although each reader brings their own unique questions to the text, the Design Guide contains information that Designers, commissioning providers, operators, and owners will find useful.

  • Control System Design guide - eScholarship
    2003
    Co-Authors: David Sellers, Hannah Friedman, Tudi Haasl, Norman Bourassa, Mary Ann Piette
    Abstract:

    California Energy Commission Public Interest Energy Research Program LBNL No. 52573 HPCBS # E5P2.1T1d HPCBS High Performance Commercial Building Systems Control System Design Guide Element 5—Integrated Commissioning and Diagnostics Project 2.1 Commissioning and Monitoring for New Construction Developed by: David Sellers, Hannah Friedman, Tudi Haasl Portland Energy Conservation, Inc. 1400 SW 5th Avenue, Suite 700 Portland, OR 97201 Norman Bourassa and Mary Ann Piette Lawrence Berkeley National Laboratory 1 Cyclotron Road Berkeley, CA 94720 May 2003