Robust Control-Oriented Linear Fractional Transform Modelling Applications for the µ-Synthesis Based H∞ Control /
Roy, Tamal.
Robust Control-Oriented Linear Fractional Transform Modelling Applications for the µ-Synthesis Based H∞ Control / [electronic resource] : by Tamal Roy, Ranjit Kumar Barai. - 1st ed. 2023. - XI, 161 p. 96 illus., 95 illus. in color. online resource. - Studies in Systems, Decision and Control, 453 2198-4190 ; . - Studies in Systems, Decision and Control, 453 .
Acceso multiusuario
Introduction -- Mathematical Modelling of Real Physical System -- Control Oriented Linear Fractional Transformation -- Synthesis Based H∞ Control Theory -- Generalized Control Oriented LFT Modelling of a Coupled Uncertain MIMO System -- Control-Oriented LFT Modelling of a Two-DOF Spring- Mass-Dashpot Dynamic System -- Control Oriented LFT Modelling and H∞ Control of Twin Rotor MIMO System -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot with Slip Dynamics.
This book covers a new paradigm of system modeling - the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like μ-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input-output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like μ-synthesis-based H∞ control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.
9789811974625
Control engineering.
Mechatronics.
Robotics.
Automation.
Control and Systems Theory.
Mechatronics.
Control, Robotics, Automation.
TJ212-225
629.8312 003
Robust Control-Oriented Linear Fractional Transform Modelling Applications for the µ-Synthesis Based H∞ Control / [electronic resource] : by Tamal Roy, Ranjit Kumar Barai. - 1st ed. 2023. - XI, 161 p. 96 illus., 95 illus. in color. online resource. - Studies in Systems, Decision and Control, 453 2198-4190 ; . - Studies in Systems, Decision and Control, 453 .
Acceso multiusuario
Introduction -- Mathematical Modelling of Real Physical System -- Control Oriented Linear Fractional Transformation -- Synthesis Based H∞ Control Theory -- Generalized Control Oriented LFT Modelling of a Coupled Uncertain MIMO System -- Control-Oriented LFT Modelling of a Two-DOF Spring- Mass-Dashpot Dynamic System -- Control Oriented LFT Modelling and H∞ Control of Twin Rotor MIMO System -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot with Slip Dynamics.
This book covers a new paradigm of system modeling - the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like μ-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input-output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like μ-synthesis-based H∞ control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.
9789811974625
Control engineering.
Mechatronics.
Robotics.
Automation.
Control and Systems Theory.
Mechatronics.
Control, Robotics, Automation.
TJ212-225
629.8312 003
