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Bond Graph Model-based Fault Diagnosis of Hybrid Systems [[electronic resource] /] / by Wolfgang Borutzky
Bond Graph Model-based Fault Diagnosis of Hybrid Systems [[electronic resource] /] / by Wolfgang Borutzky
Autore Borutzky Wolfgang
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (283 p.)
Disciplina 003.3
620
621.382
629.8
629.892
Soggetto topico Robotics
Automation
Computer simulation
Electrical engineering
Control engineering
Mechatronics
Robotics and Automation
Simulation and Modeling
Communications Engineering, Networks
Control and Systems Theory
ISBN 3-319-11860-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Bond Graph Representations of Hybrid System Models -- Structural Control Properties of Switched LTI Systems -- Bond Graph Model-based Quantitative FDI in Hybrid Systems -- Parameter Uncertainties -- Isolation of Multiple Parametric Faults from a Hybrid Model -- ARR based System Mode Identification -- Applications -- Failure Prognosis for Hybrid Systems Based on ARR Residuals -- Overall Conclusion and Discussion.
Record Nr. UNINA-9910299844303321
Borutzky Wolfgang  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Bond graph modelling for control, fault diagnosis and failure prognosis / / Wolfgang Borutzky
Bond graph modelling for control, fault diagnosis and failure prognosis / / Wolfgang Borutzky
Autore Borutzky Wolfgang
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (XVIII, 317 p. 199 illus., 127 illus. in color.)
Disciplina 620.0015115
Soggetto topico Bond graphs
ISBN 3-030-60967-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Structural Properties of Bond Graphs for Model-based Control -- Fault Diagnosis -- Failure Prognostic -- Fault Tolerant Control -- Software -- Applications -- Conclusion and Discussion.
Record Nr. UNINA-9910483039003321
Borutzky Wolfgang  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Linear Multivariable Control Engineering Using GNU Octave
Linear Multivariable Control Engineering Using GNU Octave
Autore Borutzky Wolfgang
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (363 pages)
Disciplina 629.895
ISBN 3-031-44508-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Abbreviations -- List of Figures -- Listings -- 1 Introduction -- 1.1 Objectives of a Control System -- 1.2 Multivariable System Control -- 1.2.1 Multi-loop Control -- 1.2.2 Centralised Control -- 1.3 Linear Time Invariant Models -- 1.4 Organisation of the Book -- 1.5 Notation -- References -- 2 Multiple Input Multiple Output Systems -- 2.1 Input-Output Decoupling -- 2.1.1 Decoupling of Linear MIMO Systems -- 2.1.2 Relative Gain Array (RGA) -- 2.1.3 Singular Value Decomposition (SVD) -- 2.1.4 Stability of Decentralised Control Systems -- 2.2 Directions in MIMO Systems -- 2.3 Multivariable Systems Zeros -- 2.4 Multivariable Systems Poles -- 2.5 Summary -- 2.6 Problems -- References -- 3 State Observability -- 3.1 Observability Matrix -- 3.2 Observability Gramian -- 3.3 Hautus' Observability Criterion -- 3.4 Observability of State-Space Models in Canonical Form -- 3.4.1 Observability of a System in Observer Canonical Form -- 3.4.2 Transformation of an Observable System to Observer Canonical Form -- 3.5 Summary -- 3.6 Problems -- References -- 4 State Controllability -- 4.1 Controllability Gramian -- 4.2 Controllability Matrix -- 4.3 Duality of State Controllability and State Observability -- 4.4 Controllability Under a Similarity Transformation -- 4.5 Prescaling a State-Space Model -- 4.6 Controllability of State-Space Models in a Canonical Form -- 4.6.1 Transformation to a State-Space Representation in Jordan Canonical Form -- 4.6.2 Controllability of a System in Controller Canonical Form -- 4.6.3 Transformation of a Controllable System to Controller Canonical Form -- 4.7 Non-controllable System Modes -- 4.8 Summary -- 4.9 Problems -- References -- 5 Structural System Properties -- 5.1 Decomposition into a Controllable and a Non-controllable Subspace.
5.2 Decomposition into an Observable and an Unobservable Subspace -- 5.3 Kalman Decomposition of State-Space Model -- 5.4 Subspaces -- 5.5 Structural Controllability and Structural Observability -- 5.6 Summary -- 5.7 Problems -- References -- 6 Minimal State-Space Realisation of a Transfer Function Matrix -- 6.1 Constructing a Realisation of a Transfer Function Matrix -- 6.1.1 Converting a SISO Transfer Function to a State-Space Model in Controller Canonical Form -- 6.1.2 Representing an MIMO System as the Superposition of SIMO Systems -- 6.2 Finding a Minimal Realisation of a Transfer Function Matrix -- 6.3 Gilbert's Minimal Realisation -- 6.4 Summary -- 6.5 Problems -- References -- 7 Stability of Multivariable Systems -- 7.1 Internal Stability -- 7.2 Input-Output Stability -- 7.3 Summary -- 7.4 Problems -- Reference -- 8 Closed-Loop Systems -- 8.1 Controllability and Observability of Closed-Loop Systems -- 8.2 Sensitivity Function and Complementary Sensitivity Function -- 8.3 Control Loop Stability -- 8.3.1 Internal Stability of an MIMO Feedback Loop -- 8.3.2 Multivariable Nyquist Stability Criterion -- 8.3.3 Eigenvalue Loci -- 8.4 Robust Stability -- 8.5 Stability of Closed-Loop Systems with a Decentralised Controller -- 8.6 Summary -- 8.7 Problems -- References -- 9 State Feedback -- 9.1 Introduction -- 9.2 Properties Invariant Under State Feedback -- 9.2.1 Multivariable Plant Zeros -- 9.2.2 Complete State Controllability -- 9.2.3 Complete State Observability -- 9.3 SISO Systems in Controller Canonical Form -- 9.3.1 Finding a Feedback Gain Matrix for Desired Closed-Loop System Poles -- 9.3.2 Ackermann's Formula -- 9.3.3 Transformation of Behaviour Requirements into Closed-Loop Pole Locations -- 9.3.4 Adding Integral Control to a State-Feedback Loop for Reference Tracking -- 9.4 Non-uniqueness of the State-Feedback Matrix for MIMO Systems.
9.4.1 Parametric State Feedback -- 9.4.2 Cyclic Design -- 9.5 MIMO Systems in Controllable Form -- 9.6 State Observer-Based State Feedback -- 9.6.1 Full-Order Observer Design -- 9.6.2 Separation Principle -- 9.6.3 Design Procedure -- 9.6.4 Reduced Order Observer -- 9.6.5 Observer Behaviour in the Presence of Disturbances on the Plant -- 9.6.6 Unknown Input Observers (UIOs) -- 9.7 Summary -- 9.8 Problems -- References -- 10 Optimal Control -- 10.1 Introduction -- 10.2 Optimal Linear Quadratic State Feedback -- 10.2.1 The Linear Quadratic Regulation Problem (LQR) -- 10.2.2 Derivation of the Optimal State-Feedback Control Law -- 10.2.3 Solution of the Algebraic Riccati Equation -- 10.2.4 Stability of a Closed State-Feedback Loop with an Optimal Controller -- 10.3 Optimal Linear Quadratic State Estimation (LQE): The Kalman Filter -- 10.4 H2-Optimal Control -- 10.4.1 The H2-Norm -- 10.4.2 H2-Static State-Feedback Control -- 10.4.3 The Optimal H2-Observer -- 10.4.4 The Output Feedback H2-Control Problem -- 10.5 H∞-Optimal Control -- 10.5.1 The H∞-Norm -- 10.5.2 The H∞-Suboptimal Control Problem -- 10.6 Summary -- 10.7 Problems -- References -- 11 Robust Control -- 11.1 Introduction -- 11.2 Modelling Uncertainty -- 11.3 Robust Stability of Feedback Loops with Unstructured Uncertainty -- 11.4 Parametric Uncertainties -- 11.5 Robust Stability of Feedback Loops with Structured Uncertainty -- 11.6 Structured Singular Value -- 11.7 Synthesis of a Robust Controller: D-K Iteration -- 11.8 Robust Performance -- 11.8.1 Mixed Sensitivity H∞-Controller Design -- 11.8.2 Model Order Reduction -- 11.8.2.1 System Model Order Reduction by Balanced Truncation -- 11.8.2.2 Singular Perturbation Approximation of a Balanced System Fernando:1982 -- 11.8.2.3 Modal Truncation -- 11.8.3 Controller Order Reduction.
11.8.4 Capturing Performance Specifications by a Fictitious Uncertainty Block -- 11.8.5 Performance Bounds for SISO Systems in Terms of Weighting Functions -- 11.9 Summary -- 11.10 Problems -- References -- 12 Linear Matrix Inequalities in Control -- 12.1 Optimisation -- 12.2 Convex Sets and Convex Functions -- 12.3 Recap of Some Properties of Symmetric and of Hermitian Matrices -- 12.4 Linear Matrix Inequalities -- 12.5 Some LMI Properties -- 12.6 Control Problems in an LMI Setting -- 12.6.1 Matrix Scaling as an LMI Problem -- 12.6.2 Asymptotic Stability -- 12.6.3 State-Feedback Stabilisation -- 12.6.4 LMI-Based Observer Design -- 12.6.5 LMI Formulation of the LQR Problem -- 12.6.6 Computing the H2-Norm by Solving an LMI Optimisation Problem -- 12.6.7 LMI Formulation of the H2-State-Feedback Control Problem -- 12.6.8 Computing the H∞-Norm by Solving an LMI Optimisation Problem -- 12.6.9 H∞-State-Feedback Control -- 12.6.10 Quadratic Stability of Uncertain Systems -- 12.7 Basic Idea Underlying the Numerical Solution of Convex LMI Optimisation Problems -- 12.8 Summary -- 12.9 Problems -- References -- A Some Useful Mathematical Basics -- A.1 Matrices -- A.1.1 Definitions -- A.1.2 Matrix Identities -- A.1.3 Determinants -- A.1.4 Eigenvalues and Eigenvectors -- A.1.5 Singular Value Decomposition -- A.1.6 Relative Gain Array -- A.2 Matrix Norms and Induced Matrix Norms -- A.2.1 Vector Norms -- A.2.2 Matrix Norms -- A.3 Signal Norms -- A.4 System Norms -- A.5 Generalised Inequalities -- References -- B Further Reading -- References -- Index.
Record Nr. UNINA-9910855372503321
Borutzky Wolfgang  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui