Advances in state estimation, diagnosis and control of complex systems / / Ye Wang
| Advances in state estimation, diagnosis and control of complex systems / / Ye Wang |
| Autore | Wang Ye <active 2021> |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XXVII, 237 p. 64 illus., 49 illus. in color.) |
| Disciplina | 629.80151 |
| Collana | Springer Theses, Recognizing Outstanding Ph.D. Research |
| Soggetto topico |
Automatic control - Mathematics
Observers (Control theory) |
| ISBN | 3-030-52440-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Set-based State Estimation Approaches for Descriptor Systems -- Distributed Set-membership Approach based on Zonotopes -- Set-based Fault Detection and Isolation for Descriptor Systems -- Set-based Fault Estimation for Descriptor Systems. |
| Record Nr. | UNINA-9910484052103321 |
Wang Ye <active 2021>
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Automated Model Generation and Observer Design for Interconnected Systems : A Port-Hamiltonian Approach / / Martin Pfeifer
| Automated Model Generation and Observer Design for Interconnected Systems : A Port-Hamiltonian Approach / / Martin Pfeifer |
| Autore | Pfeifer Martin |
| Pubbl/distr/stampa | Karlsruhe : , : KIT Scientific Publishing, , 2022 |
| Descrizione fisica | 1 online resource (248 pages) |
| Disciplina | 621.3 |
| Collana | Karlsruher Beiträge zur Regelungs- und Steuerungstechnik |
| Soggetto topico |
Automatic control
Mathematical models Observers (Control theory) System theory Mathematical optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910805674503321 |
Pfeifer Martin
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| Karlsruhe : , : KIT Scientific Publishing, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Deterministic observation theory and applications / / Jean-Paul Gauthier, Ivan Kupka [[electronic resource]]
| Deterministic observation theory and applications / / Jean-Paul Gauthier, Ivan Kupka [[electronic resource]] |
| Autore | Gauthier Jean-Paul |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2001 |
| Descrizione fisica | 1 online resource (x, 226 pages) : digital, PDF file(s) |
| Disciplina | 003 |
| Soggetto topico |
Observers (Control theory)
Missing observations (Statistics) |
| ISBN |
1-107-12389-5
0-521-18386-3 0-511-17475-6 0-511-15477-1 1-280-43347-7 0-511-54664-5 9786610433476 0-511-30238-X 0-511-04405-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Systems under Consideration -- What Is Observability? -- The New Observability Theory Versus the Old Ones -- Observability and Observers -- Observability Concepts -- Infinitesimal and Uniform Infinitesimal Observability -- The Canonical Flag of Distributions -- The Phase-Variable Representation -- Differential Observability and Strong Differential Observability -- The Trivial Foliation -- Appendix: Weak Controllability -- The Case d[subscript y] [less than or equal] d[subscript u] -- Relation Between Observability and Infinitesimal Observability -- Normal Form for a Uniform Canonical Flag -- Characterization of Uniform Infinitesimal Observability -- Complements -- Proof of Theorem 3.2 -- The Case d[subscript y]] d[subscript u] -- Definitions and Notations -- Statement of Our Differential Observability Results -- Proof of the Observability Theorems -- Equivalence between Observability and Observability for Smooth Inputs -- The Approximation Theorem -- Complements -- Singular State-Output Mappings -- Assumptions and Definitions -- The Ascending Chain Property -- The Key Lemma -- The ACP(N) in the Controlled Case -- Globalization -- The Controllable Case -- Observers: The High-Gain Construction -- Definition of Observer Systems and Comments -- The High-Gain Construction -- Dynamic Output Stabilization and Applications -- Dynamic Output Stabilization -- The Case of a Uniform Canonical Flag -- The General Case of a Phase-Variable Representation -- Complements -- Applications -- Binary Distillation Columns -- Polymerization Reactors. |
| Altri titoli varianti | Deterministic Observation Theory & Applications |
| Record Nr. | UNINA-9910455317803321 |
Gauthier Jean-Paul
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| Cambridge : , : Cambridge University Press, , 2001 | ||
| Lo trovi qui: Univ. Federico II | ||
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Deterministic observation theory and applications / / Jean-Paul Gauthier, Ivan Kupka [[electronic resource]]
| Deterministic observation theory and applications / / Jean-Paul Gauthier, Ivan Kupka [[electronic resource]] |
| Autore | Gauthier Jean-Paul |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2001 |
| Descrizione fisica | 1 online resource (x, 226 pages) : digital, PDF file(s) |
| Disciplina | 003 |
| Soggetto topico |
Observers (Control theory)
Missing observations (Statistics) |
| ISBN |
1-107-12389-5
0-521-18386-3 0-511-17475-6 0-511-15477-1 1-280-43347-7 0-511-54664-5 9786610433476 0-511-30238-X 0-511-04405-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Systems under Consideration -- What Is Observability? -- The New Observability Theory Versus the Old Ones -- Observability and Observers -- Observability Concepts -- Infinitesimal and Uniform Infinitesimal Observability -- The Canonical Flag of Distributions -- The Phase-Variable Representation -- Differential Observability and Strong Differential Observability -- The Trivial Foliation -- Appendix: Weak Controllability -- The Case d[subscript y] [less than or equal] d[subscript u] -- Relation Between Observability and Infinitesimal Observability -- Normal Form for a Uniform Canonical Flag -- Characterization of Uniform Infinitesimal Observability -- Complements -- Proof of Theorem 3.2 -- The Case d[subscript y]] d[subscript u] -- Definitions and Notations -- Statement of Our Differential Observability Results -- Proof of the Observability Theorems -- Equivalence between Observability and Observability for Smooth Inputs -- The Approximation Theorem -- Complements -- Singular State-Output Mappings -- Assumptions and Definitions -- The Ascending Chain Property -- The Key Lemma -- The ACP(N) in the Controlled Case -- Globalization -- The Controllable Case -- Observers: The High-Gain Construction -- Definition of Observer Systems and Comments -- The High-Gain Construction -- Dynamic Output Stabilization and Applications -- Dynamic Output Stabilization -- The Case of a Uniform Canonical Flag -- The General Case of a Phase-Variable Representation -- Complements -- Applications -- Binary Distillation Columns -- Polymerization Reactors. |
| Altri titoli varianti | Deterministic Observation Theory & Applications |
| Record Nr. | UNINA-9910779924903321 |
Gauthier Jean-Paul
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| Cambridge : , : Cambridge University Press, , 2001 | ||
| Lo trovi qui: Univ. Federico II | ||
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Deterministic observation theory and applications / / Jean-Paul Gauthier, Ivan Kupka
| Deterministic observation theory and applications / / Jean-Paul Gauthier, Ivan Kupka |
| Autore | Gauthier Jean-Paul |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2001 |
| Descrizione fisica | 1 online resource (x, 226 pages) : digital, PDF file(s) |
| Disciplina | 003 |
| Soggetto topico |
Observers (Control theory)
Missing observations (Statistics) |
| ISBN |
1-107-12389-5
0-521-18386-3 0-511-17475-6 0-511-15477-1 1-280-43347-7 0-511-54664-5 9786610433476 0-511-30238-X 0-511-04405-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Systems under Consideration -- What Is Observability? -- The New Observability Theory Versus the Old Ones -- Observability and Observers -- Observability Concepts -- Infinitesimal and Uniform Infinitesimal Observability -- The Canonical Flag of Distributions -- The Phase-Variable Representation -- Differential Observability and Strong Differential Observability -- The Trivial Foliation -- Appendix: Weak Controllability -- The Case d[subscript y] [less than or equal] d[subscript u] -- Relation Between Observability and Infinitesimal Observability -- Normal Form for a Uniform Canonical Flag -- Characterization of Uniform Infinitesimal Observability -- Complements -- Proof of Theorem 3.2 -- The Case d[subscript y]] d[subscript u] -- Definitions and Notations -- Statement of Our Differential Observability Results -- Proof of the Observability Theorems -- Equivalence between Observability and Observability for Smooth Inputs -- The Approximation Theorem -- Complements -- Singular State-Output Mappings -- Assumptions and Definitions -- The Ascending Chain Property -- The Key Lemma -- The ACP(N) in the Controlled Case -- Globalization -- The Controllable Case -- Observers: The High-Gain Construction -- Definition of Observer Systems and Comments -- The High-Gain Construction -- Dynamic Output Stabilization and Applications -- Dynamic Output Stabilization -- The Case of a Uniform Canonical Flag -- The General Case of a Phase-Variable Representation -- Complements -- Applications -- Binary Distillation Columns -- Polymerization Reactors. |
| Altri titoli varianti | Deterministic Observation Theory & Applications |
| Record Nr. | UNINA-9910965535003321 |
Gauthier Jean-Paul
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| Cambridge : , : Cambridge University Press, , 2001 | ||
| Lo trovi qui: Univ. Federico II | ||
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Disturbance observer for advanced motion control with MATLAB/Simulink / / Akira Shimada
| Disturbance observer for advanced motion control with MATLAB/Simulink / / Akira Shimada |
| Autore | Shimada Akira <1958-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2023] |
| Descrizione fisica | 1 online resource (291 pages) |
| Disciplina | 629.8312 |
| Collana | IEEE Press Series on Control Systems Theory and Applications Series |
| Soggetto topico |
Observers (Control theory)
Motion control devices |
| ISBN |
1-394-17813-1
1-394-17811-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright -- Contents -- About the Author -- Preface -- About the Companion Website -- Chapter 1 Introduction of Disturbance Observer -- 1.1 Types of Disturbance Observers -- 1.1.1 Introduction -- 1.1.2 Observer and Control System Design Concepts -- 1.2 Format of Example and Use of MATLAB -- 1.2.1 Format of the Example Problem -- 1.2.2 Using MATLAB/Simulink -- 1.3 How This Book Is Organized -- 1.3.1 The Structure of This Document -- 1.3.2 How to Read This Book -- References -- Chapter 2 Basics of Disturbance Observer -- 2.1 What Is Disturbance -- 2.2 How Disturbance Estimation Works -- 2.3 Disturbance Rejection and Acceleration Control System -- 2.3.1 Concept of Disturbance Rejection and Acceleration -- 2.3.2 Different Disturbance Observers Depending on How the Disturbance Is Captured -- 2.3.3 Basic Control System Design -- 2.4 Reaction Force Observer (RFOB) -- 2.4.1 Reaction Force Observer Design -- 2.4.2 Combined Use of DOB and RFOB -- 2.5 Internal Model and Two‐degrees‐of‐freedom Control -- 2.5.1 Internal Model Principle -- 2.5.2 Feedforward Control -- 2.5.3 Control System with Disturbance Observer and Feedforward -- 2.6 Effect of Observation Noise and Modeling Error -- 2.6.1 Effect of Observation Noise -- 2.6.2 Effect of Modeling Error -- 2.6.3 Effect of Viscous Friction -- 2.6.4 Effect of Varying Mass -- 2.7 Real System Modeling -- 2.7.1 DC Motor Torque Control Model -- 2.7.2 Without Current Feedback -- 2.7.3 Relationship Between the Cart Model and Rotary‐type Motor -- 2.8 Idea of Robust Control -- References -- Chapter 3 Stabilized Control and Coprime Factorization -- 3.1 Coprime Factorization and Derivation of Stabilizing Controller -- 3.1.1 Derivation of Parameters for Coprime Factorization -- 3.1.2 Stabilizing Controller and Free Parameters -- 3.1.3 Double Coprime Factorization Involving Q(s).
3.2 Relationship with Disturbance Observer -- 3.3 Coprime Factorization and Structure of Two‐degrees‐of‐freedom Control System -- References -- Chapter 4 Disturbance Observer in State Space -- 4.1 Identity Input Disturbance Observer -- 4.1.1 How to Design the Identity Input Disturbance Observer in Continuous System -- 4.1.2 Controllability and State Feedback -- 4.1.3 Continuous‐time Servo System with Identity Disturbance Observer -- 4.2 Identity Reaction Force Observer -- 4.3 Identity Output Disturbance Observer -- 4.4 Identity Higher Order Disturbance Observer Design -- 4.5 Minimal Order Disturbance Observer -- 4.6 Design of Periodic Disturbance Observer -- 4.7 Observability and Noninput/Output Disturbances -- 4.7.1 Mathematical Model of a DC Motor -- 4.7.2 DC Motor Observable Matrix and Rank -- 4.7.3 Observability of Disturbance Estimation -- 4.7.4 Noninput/Output Disturbance Observer and Control -- References -- Chapter 5 Digital Disturbance Observer Design -- 5.1 Identity Digital Disturbance Observer Design -- 5.2 Confirmation of Separation Theorem -- 5.3 Minimal Order Digital Disturbance Observer -- 5.4 Identity High‐order Digital Disturbance Observer -- References -- Chapter 6 Disturbance Observer of Vibrating Systems -- 6.1 Modeling of the Two‐inertia System -- 6.2 Vibration Suppression Control in Transfer Function Representation -- 6.3 Disturbance Observer and Stabilization for Two‐inertia Systems -- 6.3.1 Observer to Estimate Input Shaft Disturbance τd1 -- 6.3.2 Observer to Estimate Output Shaft Disturbance τd2 -- 6.4 Servo System with DOB for Two‐inertia Systems -- 6.4.1 Input Shaft Servo System Considering Input Shaft Disturbance τd1 -- 6.4.2 Output Shaft Servo System Considering Output Shaft Disturbance τd2 -- References -- Chapter 7 Communication Disturbance Observer -- 7.1 Smith Method Overview -- 7.2 Communication Disturbance Observer. 7.3 Control with Communication DOB Under Disturbance -- References -- Chapter 8 Multirate Disturbance Observer -- 8.1 Multirate System Modeling -- 8.2 Multirate Disturbance Observer (Method 1) -- 8.2.1 Disturbance Observer Design (Method 1) -- 8.2.2 Controller Design Using Multirate Observer (Method 1) -- 8.3 Multirate Disturbance Observer (Method 2) -- References -- Chapter 9 Model Predictive Control with DOB -- 9.1 Model Predictive Control (MPC) -- 9.1.1 Overview of MPC -- 9.1.2 Formulation and Objective Function for the MPC Design -- 9.2 Constraint Descriptions -- 9.2.1 Treatment of Constraints on the Control Input û(k) -- 9.2.2 Constraints on the Control Variable ̂z(k) -- 9.2.3 Constraints on û(k) Change in the Control Input -- 9.2.4 Constraints on the Control Inputs and Quantities -- 9.3 MPC System Design -- 9.4 Design of Disturbance Observer‐Merged MPC System -- References -- Chapter 10 Kalman Filter with Disturbance Estimation (KFD) -- 10.1 Design of Kalman Filter with Disturbance Estimation -- 10.2 Design of Stationary Kalman Filter with Disturbance Estimation (SKFD) -- 10.3 Design of Extended Kalman Filter with Disturbance Estimation (EKFD) -- References -- Chapter 11 Adaptive Disturbance Observer -- 11.1 Structure of an Adaptive Observer -- 11.2 Derivation of Observable Canonical System for Adaptive DOB -- 11.3 Creating State Variable Filter -- 11.4 Design of Kreisselmeier‐Type Adaptive Disturbance Observer -- References -- Chapter 12 Methods for Measuring and Estimating Velocities -- 12.1 Importance of Velocity Measurement -- 12.2 Velocity Measurement and Estimation Methods -- 12.2.1 Pseudo‐derivative -- 12.2.2 Counting and Timekeeping Methods -- 12.2.3 M/T Method -- 12.2.4 Synchronous Counting Method -- 12.2.5 Instantaneous Velocity Observer -- References -- Appendix A Mathematical Foundations and Control Theory -- A.1 Mathematics. A.1.1 Definition and Calculus of Matrix Exponential Functions -- A.1.2 Positive Definite Matrix -- A.1.3 Matrix Rank -- A.2 Basic Classical Control Theory -- A.2.1 Poles and Zeros -- A.2.2 PI Velocity Control -- A.2.3 PID Position Control System -- A.2.4 Final Value and Initial Value Theorems -- A.3 Basic Modern Control Theory -- A.3.1 State and Output Equations -- A.3.2 Solution of the State Equation for the Continuous System -- A.3.3 Equation of State to Transfer Function -- A.3.4 Poles and Zeros of Continuous Systems -- A.3.5 Controllability and Observability of Continuous Systems -- A.3.6 Duality Theorem -- A.3.7 State Feedback Control of Continuous Systems -- A.3.8 Servo System Design -- A.4 Doyle's Notation and Double Coprime Factorization -- A.4.1 Doyle's Notation -- A.4.2 Confirmation of Double Coprime Factorization -- A.5 Foundations of Digital Control Theory -- A.5.1 Digital Control and State and Output Equations -- A.5.2 Poles and Zeros of Digital Systems -- A.5.3 Reachability and Observability of Digital Systems -- A.5.4 Digital State Feedback Control System Design -- A.5.5 Digital Servo System Design -- A.6 Representation and Meaning of Optimal Programming -- A.6.1 What Is Optimal Programming? -- A.6.2 fmincon Function -- A.6.3 Example of a Drawing Program -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910830602403321 |
Shimada Akira <1958->
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| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2023] | ||
| Lo trovi qui: Univ. Federico II | ||
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Observers in control systems : a practical guide / / George Ellis
| Observers in control systems : a practical guide / / George Ellis |
| Autore | Ellis George (George H.) |
| Pubbl/distr/stampa | San Diego, CA, : Academic Press, c2002 |
| Descrizione fisica | 1 online resource (275 p.) |
| Disciplina | 629.8 |
| Soggetto topico | Observers (Control theory) |
| ISBN |
1-281-03282-4
9786611032821 0-08-051301-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Observers in Control Systems: A Practical Guide; Copyright Page; Contents; Acknowledgements; Safety; Chapter 1. Control Systems and the Role of Observers; 1.1 Overview; 1.2 Preview of Observers; 1.3 Summary of the Book; Chapter 2. Control-System Background; 2.1 Control-System Structures; 2.2 Goals of Control Systems; 2.3 Visual ModelQ Simulation Environment; 2.4 Software Experiments: Introduction to Visual ModelQ; 2.5 Exercises; Chapter 3. Review of the Frequency Domain; 3.1 Overview of the s-Domain; 3.2 Overview of the z-Domain; 3.3 The Open-Loop Method
3.4 A Zone-Based Tuning Procedure3.5 Exercises; Chapter 4. The Luenberger Observer: Correcting Sensor Problems; 4.1 What Is a Luenberger Observer?; 4.2 Experiments 4A-4C: Enhancing Stability with an Observer; 4.3 Predictor-Corrector Form of the Luenberger Observer; 4.4 Filer Form of the Luenberger Observer; 4.5 Designing a Luenberger Observer; 4.6 Introduction to Tuning an Observer Compensator; 4.7 Exercises; Chapter 5. The Luenberger Observer and Model Inaccuracy; 5.1 Model Inaccuracy; 5.2 Effects of Model Inaccuracy; 5.3 Experimental Evaluation; 5.4 Exercises Chapter 6. The Luenberger Observer and Disturbances6.1 Disturbances; 6.2 Disturbance Response; 6.3 Disturbance Decoupling; 6.4 Exercises; Chapter 7. Noise in the Luenberger Observer; 7.1 Noise in Control Systems; 7.2 Sensor Noise and the Luenberger Observer; 7.3 Noise Sensitivity when Using Disturbance Decoupling; 7.4 Reducing Noise Susceptibility in Observer-Based Systems; 7.5 Exercises; Chapter 8. Using the Luenberger Observer in Motion Control; 8.1 The Luenberger Observers in Motion Systems; 8.2 Observing Velocity to Reduce Phase Lag; 8.3 Using Observers to Improve Disturbance Response 8.4 ExercisesReferences; Appendix A. Observer-Based Resolver Conversion in Industrial Servo Systems; Introduction; Resolvers and Traditional RDC; Converting the Signal; Observers; Applying the Observer to RDC; Advantages of Observer-Based Conversion; Conclusion; References; Appendix B. Cures for Mechanical Resonance in Industrial Servo Systems; Introduction; Two-Part Transfer Function; Low-Frequency Resonance; Velocity Control Law; Methods of Correction Applied to Low-Frequency Resonance; Conclusion; Acknowledgments; References; Appendix C. European Symbols for Block Diagrams Part I: Linear FunctionsPart II: Nonlinear Functions; Appendix D. Development of the Bilinear Transformation; Bilinear Transformation; Prewarping; Factoring Polynomials; Phase Advancing; Appendix E. Solutions of Exercises; Chapter 2; Chapter 3; Chapter 4; Chapter 5; Chapter 6; Chapter 7; Chapter 8; Index |
| Record Nr. | UNINA-9911004761603321 |
Ellis George (George H.)
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| San Diego, CA, : Academic Press, c2002 | ||
| Lo trovi qui: Univ. Federico II | ||
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Optimal and robust state estimation : finite impulse response (FIR) and Kalman approaches / / Yuriy S. Shmaliy, Shunyi Zhao
| Optimal and robust state estimation : finite impulse response (FIR) and Kalman approaches / / Yuriy S. Shmaliy, Shunyi Zhao |
| Autore | Shmaliy Yuriy |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley-IEEE Press, , [2022] |
| Descrizione fisica | 1 online resource (483 pages) |
| Disciplina | 629.8312 |
| Soggetto topico |
Observers (Control theory)
Systems engineering |
| ISBN |
1-119-86310-4
1-119-86308-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830789503321 |
Shmaliy Yuriy
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| Hoboken, New Jersey : , : Wiley-IEEE Press, , [2022] | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the 2018 International Conference on Robotics, Control and Automation Engineering / / Association for Computing Machinery
| Proceedings of the 2018 International Conference on Robotics, Control and Automation Engineering / / Association for Computing Machinery |
| Pubbl/distr/stampa | New York, NY, United States : , : Association for Computing Machinery, , 2018 |
| Descrizione fisica | 1 online resource (193 pages) : illustrations |
| Disciplina | 629.8312 |
| Soggetto topico |
Control theory
Observers (Control theory) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910375768103321 |
| New York, NY, United States : , : Association for Computing Machinery, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
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