top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Machine learning control by symbolic regression / / Askhat Diveev, Elizaveta Shmalko
Machine learning control by symbolic regression / / Askhat Diveev, Elizaveta Shmalko
Autore Diveev Askhat
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (162 pages)
Disciplina 629.8
Soggetto topico Machine learning
Control automàtic
Processament de dades
Aprenentatge automàtic
Soggetto genere / forma Llibres electrònics
ISBN 3-030-83213-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466411203316
Diveev Askhat  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine learning control by symbolic regression / / Askhat Diveev, Elizaveta Shmalko
Machine learning control by symbolic regression / / Askhat Diveev, Elizaveta Shmalko
Autore Diveev Askhat
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (162 pages)
Disciplina 629.8
Soggetto topico Machine learning
Control automàtic
Processament de dades
Aprenentatge automàtic
Soggetto genere / forma Llibres electrònics
ISBN 3-030-83213-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910506390903321
Diveev Askhat  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sampled-data control for periodic objects / / Efim Rosenwasser, Torsten Jeinsch, Wolfgang Drewelow
Sampled-data control for periodic objects / / Efim Rosenwasser, Torsten Jeinsch, Wolfgang Drewelow
Autore Rosenwasser Efim
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (258 pages)
Disciplina 629.8
Soggetto topico Automatic control
Control automàtic
Teoria de control
Soggetto genere / forma Llibres electrònics
ISBN 3-031-01956-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: The Frequency Approach to the Mathematical Description of Linear Periodic Objects -- Discrete Operational Transformations of Functions of Continuous Argument and Operator Description of LTI Systems -- State-Space Analysis of Finite-Dimensional Linear Continuous Periodic (FDLCP) Objects -- Frequency Method in the Theory of FDLCP Objects -- Floquet–Lyapunov Decomposition and its Application -- Part II: PTM approach to SD systems with FDLCP Objects -- Open-Loop SD System with FDLCP Object -- Open-Loop SD System with FDLCP Object and Delay -- Closed-Loop SD System with FDLCP Object and Delay -- Part III: Determinant Polynomial Equations, SD Modal Control and Stabilization of FDLCP Objects -- Polynomial Matrices -- Rational Matrices -- Determinant Polynomial Equations, Causal Modal Control and Stabilization of Discrete Systems -- 11 Synchronous SD Stabilization of FDLCP Objects -- Asynchronous SD Stabilization of FDLCP Objects -- Part IV Building the Quality Functional for the H2-Optimization Task of the System Sτ -- General PTM Properties of Synchronous Open-Loop SD System with Delay -- 14 PTM of the Closed-Loop SD System with Delay as Function of Argument s -- Calculation of Matrices v0(s), ξ0(s), ψ0(s) -- System Function -- Representing the PTM of a Closed-Loop Synchronous SD System by the System Function -- H2-Norm of the Closed-Loop SD System -- Construction of the Quality Functional -- Part V H2-Optimization of the Closed-Loop SD System -- Scalar and Matrix Quasi-polynomials -- Minimization of a Quadratic Functional on the Unit Circle -- Construction of Matrix η(s,t) -- Construction of Matrix C ̃T (s,t) -- Transformation of Quality Functional -- H2-Optimization of the System Sτ.
Record Nr. UNINA-9910647776303321
Rosenwasser Efim  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sampled-data control for periodic objects / / Efim Rosenwasser, Torsten Jeinsch, Wolfgang Drewelow
Sampled-data control for periodic objects / / Efim Rosenwasser, Torsten Jeinsch, Wolfgang Drewelow
Autore Rosenwasser Efim
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (258 pages)
Disciplina 629.8
Soggetto topico Automatic control
Control automàtic
Teoria de control
Soggetto genere / forma Llibres electrònics
ISBN 3-031-01956-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: The Frequency Approach to the Mathematical Description of Linear Periodic Objects -- Discrete Operational Transformations of Functions of Continuous Argument and Operator Description of LTI Systems -- State-Space Analysis of Finite-Dimensional Linear Continuous Periodic (FDLCP) Objects -- Frequency Method in the Theory of FDLCP Objects -- Floquet–Lyapunov Decomposition and its Application -- Part II: PTM approach to SD systems with FDLCP Objects -- Open-Loop SD System with FDLCP Object -- Open-Loop SD System with FDLCP Object and Delay -- Closed-Loop SD System with FDLCP Object and Delay -- Part III: Determinant Polynomial Equations, SD Modal Control and Stabilization of FDLCP Objects -- Polynomial Matrices -- Rational Matrices -- Determinant Polynomial Equations, Causal Modal Control and Stabilization of Discrete Systems -- 11 Synchronous SD Stabilization of FDLCP Objects -- Asynchronous SD Stabilization of FDLCP Objects -- Part IV Building the Quality Functional for the H2-Optimization Task of the System Sτ -- General PTM Properties of Synchronous Open-Loop SD System with Delay -- 14 PTM of the Closed-Loop SD System with Delay as Function of Argument s -- Calculation of Matrices v0(s), ξ0(s), ψ0(s) -- System Function -- Representing the PTM of a Closed-Loop Synchronous SD System by the System Function -- H2-Norm of the Closed-Loop SD System -- Construction of the Quality Functional -- Part V H2-Optimization of the Closed-Loop SD System -- Scalar and Matrix Quasi-polynomials -- Minimization of a Quadratic Functional on the Unit Circle -- Construction of Matrix η(s,t) -- Construction of Matrix C ̃T (s,t) -- Transformation of Quality Functional -- H2-Optimization of the System Sτ.
Record Nr. UNISA-996511863603316
Rosenwasser Efim  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Sliding-Mode Fuzzy Controllers / / Mojtaba Ahmadieh Khanesar, Okyay Kaynak, Erdal Kayacan
Sliding-Mode Fuzzy Controllers / / Mojtaba Ahmadieh Khanesar, Okyay Kaynak, Erdal Kayacan
Autore Khanesar Mojtaba Ahmadieh
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (xvi, 237 pages)
Altri autori (Persone) KaynakOkyay
KayacanErdal <1980-.>
Collana Studies in Systems, Decision and Control
Soggetto topico Civil Engineering
Control automàtic
Soggetto genere / forma Llibres electrònics
ISBN 3-030-69182-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910495194103321
Khanesar Mojtaba Ahmadieh  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Time series analysis : forecasting and control / / George E.P. Box, Gwilym M. Jenkins, Gregory C. Reinsel
Time series analysis : forecasting and control / / George E.P. Box, Gwilym M. Jenkins, Gregory C. Reinsel
Autore Box George E. P
Edizione [4th ed.]
Pubbl/distr/stampa Hoboken, N.J., : John Wiley, c2008
Descrizione fisica 1 online resource (781 p.)
Disciplina 519.5/5
519.55
Altri autori (Persone) JenkinsGwilym M
ReinselGregory C
Collana Wiley series in probability and statistics
Soggetto topico Anàlisi de sèries temporals
Teoria de la predicció
Sistemes de control per retroacció
Control automàtic
Models matemàtics
Time-series analysis
Prediction theory
Transfer functions
Feedback control systems - Mathematical models
ISBN 1-118-61919-6
1-118-61906-4
1-118-21087-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto pt. 1. Stochastic models and their forecasting -- pt. 2. Stochastic model building -- pt. 3. Transfer function and multivariate model building -- pt. Design of discrete control schemes -- pt. 5. Charts and tables -- pt. 6. Exercises and problems.
Record Nr. UNINA-9910141180203321
Box George E. P  
Hoboken, N.J., : John Wiley, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Traffic congestion control by PDE backstepping / / Huan Yu and Miroslav Krstic
Traffic congestion control by PDE backstepping / / Huan Yu and Miroslav Krstic
Autore You Huan
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (363 pages)
Disciplina 629.8
Collana Systems and Control: Foundations and Applications
Soggetto topico Automatic control
Traffic congestion
Congestió del trànsit
Models matemàtics
Control automàtic
Soggetto genere / forma Llibres electrònics
ISBN 3-031-19346-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- What Does the Book Cover? -- Who Is the Book For? -- Acknowledgments -- Contents -- Acronyms -- 1 Introduction -- 1.1 Before Control-Models -- 1.2 The Basics of Traffic Flow Modeling -- Macroscopic and Microscopic Models -- LWR and ARZ Macroscopic Models -- 1.3 Macroscopic Traffic PDE Models -- Lighthill-Whitham-Richards Model -- Aw-Rascle-Zhang Model -- 1.4 Linearized Models and Free/Congested Regimes -- Linearized LWR Model -- Linearized ARZ Model -- 1.5 Traffic Actuation -- Control Measures: Ramp Metering (RM) and Variable Speed Limits (VSL) -- Distributed and In-Domain Actuation: CAVs -- 1.6 A Brief Review of Literature on Traffic Control -- Control Employing PI and Backstepping Feedback -- Optimal Control -- Model Predictive Control -- Other Control Problems and Strategies -- 1.7 Boundary Control by RM or VSL -- Traffic Flow Boundary Control by Ramp Metering -- Traffic Velocity Boundary Control by Varying Speed Limits -- 1.8 Open-Loop Stability -- Linear Stability of LWR Model -- Linear Stability of ARZ Model -- 1.9 Numerical Simulation -- Numerical Simulation of the LWR PDE Model -- Numerical Simulation of the ARZ PDE Model -- 1.10 Notes and References -- 2 Backstepping for Coupled Hyperbolic PDEs -- 2.1 A Brief History of PDE Backstepping -- 2.2 Coupled Hyperbolic PDEs -- 2.3 Backstepping Control for Coupled Hyperbolic PDEs -- Target System -- Backstepping Transformation -- Full-State Feedback Design -- 2.4 Observer and Output-Feedback Design for General Hyperbolic PDEs -- Boundary Sensing for State Estimation -- Output Feedback Design -- 2.5 Backstepping Control for Second-Order Hyperbolic PDEs -- Target System -- Lyapunov Stability Analysis -- Full-State Feedback Design -- 2.6 Observer and Collocated Output-Feedback Design for Second-Order Hyperbolic PDEs -- Boundary Sensing for State Estimation.
Output Feedback Design -- 2.7 Notes and References -- Part I Basic Backstepping Control of Freeway Traffic -- 3 Stabilization of ARZ Model -- 3.1 What Can Be Controlled and Is It Worth Controlling with Ramp Metering? -- 3.2 Stop-and-Go Instabilities -- 3.3 Boundary Control Model -- DORM Control -- UORM Control -- Spectrum Analysis of Control Models with Zero Input -- 3.4 DORM Control Design -- 3.5 UORM Control Designs -- UORM Full-State Feedback Control Design -- UORM Anti-Collocated Boundary Observer Design -- UORM Collocated Boundary Observer Design -- UORM Output-Feedback Control Design -- 3.6 Numerical Simulation -- 3.7 Notes and References -- 4 Observer Validation on Freeway Data -- 4.1 Testing PDE Backstepping Observers on Real Freeway Data -- 4.2 Introduction to Traffic State Estimation -- 4.3 Boundary Observer Design -- Output Injection for the Linearized ARZ Model -- 4.4 Nonlinear Observer -- 4.5 Numerical Simulation -- 4.6 Model Calibration with NGSIM Data -- Data Reconstruction -- Calibration of Model Parameters -- 4.7 Data Validation of Observer with Calibrated Parameters -- 4.8 Notes and References -- 5 Adaptive Control of ARZ Traffic Model -- 5.1 Parametric Uncertainties in the ARZ Model -- 5.2 Adaptive Control for PDEs Enabled by Backstepping -- 5.3 Adaptive Output Feedback: Simultaneous Identification, Observer, and Control Design -- 5.4 Validation of Adaptive Design: Stability Proof and Simulations -- 5.5 The ARZ PDE Model with Parameter Uncertainty -- Scaling the States -- Observer Canonical Form -- 5.6 Parametric Model and Parameter Estimation -- 5.7 Filter-Based Observer Design -- 5.8 Adaptive Output-Feedback Control Design -- 5.9 Lyapunov Stability Analysis -- L2 Boundedness -- Convergence -- 5.10 Numerical Simulation -- 5.11 Notes and References -- 6 Event-Triggered Control of ARZ Model.
6.1 Event-Triggered Control and Its Role in Controlled Traffic -- 6.2 VSL Full-State Feedback Control Design -- 6.3 Event-Triggered Strategies for Boundary Control -- Static Triggering Condition -- Dynamic Triggering Condition -- 6.4 Absence of the Zeno Phenomenon -- Static Triggering Condition -- Dynamic Triggering Condition -- 6.5 Stability Results -- Static Triggering Condition -- Dynamic Triggering Condition -- 6.6 Numerical Simulations -- 6.7 Notes and References -- 7 Comparison of Backstepping with Reinforcement Learning -- 7.1 From (Model-Based) Adaptive Control to (Less Model-Based) Reinforcement Learning -- Adaptive Backstepping -- Relative Merits of RL and Adaptive Backstepping -- Learning Characteristics of RL and Adaptive Backstepping -- Reliance on Full-State Measurement -- Is RL Learning the Backstepping Feedback Law? -- Comparison of RL with Proportional-Integral Controllers -- 7.2 RL Control Approach -- 7.3 Boundary Control Problem Reformulation -- ARZ PDE Traffic Model -- Boundary Control Design -- Setpoint Control -- PDE Backstepping Control -- P Control -- PI Control -- 7.4 Control of ARZ Model by Reinforcement Learning -- Boundary Control of PDE as a MDP -- Value Function and Q-Function -- Actor-Critic -- Critic -- Actor -- Proximal Policy Optimization -- 7.5 Comparative Simulation Study -- Simulation Configuration -- Comparative Study with Full Knowledge of System Dynamics -- Learning Process of RL Controllers -- State Evolution, Reward, and Control Inputs -- Other Performance Measures -- Comparison Study with Partial Knowledge of System -- Scenario 1 of Lighter In-Domain Traffic -- Scenario 2 of Denser In-Domain Traffic -- 7.6 Notes and References -- Comparative Assessment of RL and Backstepping -- RL Versus Extremum Seeking -- Possible Advances with RL -- Code Availability -- Part II Advanced Backstepping for Traffic Flows.
8 Two-Lane Traffic Control -- 8.1 Modeling and Controlling Two Lanes: By Four PDEs and Two VSL Inputs -- 8.2 Two-Lane Traffic ARZ Model -- Driver's Preference Over Two Lanes -- VSL Control of Linearized Two-Lane ARZ Model -- 8.3 Full-State Feedback Control Design -- 8.4 Collocated Observer and Output-Feedback Control -- Collocated Observer Design -- Output-Feedback Controller -- 8.5 Numerical Simulation -- Output-Feedback Stabilization and Performance -- Different Traffic Scenarios, One-Lane Backstepping and PI Controllers -- 8.6 Notes and References -- 9 Two-Class Traffic Control -- 9.1 Diverse Driver and Vehicle Classes: Additional PDEs Controlled by a Single Input -- 9.2 Two-Class ARZ Traffic Model -- Linearized Two-Class PDE Model -- Free/Congested Regime Analysis of Two-Class Traffic -- 9.3 Boundary Control Design Model -- 9.4 Full-State Feedback Control -- 9.5 Anti-collocated Boundary Observer Design -- 9.6 Output-Feedback Control Design -- 9.7 Numerical Simulation -- Performance Indices -- 9.8 Notes and References -- 10 Control of Two Cascaded Freeway Segments -- 10.1 Taking the ARZ Control Design Beyond a Single Freeway Segment -- 10.2 Possible Control Configurations for a Cascade of Freeway Segments -- Macroscopic Modeling of a Cascade of Freeway Segments -- Boundary Control of a Cascade of Freeway Segments -- 10.3 ARZ PDE Model of a Cascade of Freeway Segments -- Actuated Boundary at Two Different Locations -- Congested Steady States ps: [/EMC pdfmark [/Subtype /Span /ActualText (left parenthesis rho 1 Superscript star Baseline comma v 1 Superscript star Baseline comma rho 2 Superscript star Baseline comma v 2 Superscript star Baseline right parenthesis) /StPNE pdfmark [/StBMC pdfmark(ρ1,v1,ρ2,v2)ps: [/EMC pdfmark [/StPop pdfmark [/StBMC pdfmark -- Linearized Model in the Riemann Coordinates -- 10.4 State Feedback Control Designs.
Feedback Law U0(t) with Flow Rate Control from x=0 -- Feedback Law UL(t) with Flow Rate Control from x=L -- 10.5 Boundary Observer Designs -- Observer with Measurement Y0(t) at x=0 -- Observer with Measurement at Outlet -- 10.6 Output-Feedback Laws -- 10.7 Robustness to Input Delays -- 10.8 Simulation Results -- Output-Feedback Stabilization -- Robustness to Delays -- Comparison with PI Controllers -- 10.9 Notes and References -- 11 Estimation of Freeway Diverge Flows -- 11.1 Traffic Flow Estimation Beyond a Single Road Segment -- 11.2 PDE Model of One Incoming and Two Outgoing Roads -- 11.3 Linearized Model in the Riemann Coordinates -- 11.4 Boundary Observer Design -- 11.5 Robustness to Disturbance and Noise -- 11.6 Notes and References -- 12 Control Under Routing-Induced Instability -- 12.1 ARZ Model with Routing Feedback -- 12.2 Feedback Design for the Linearized System -- 12.3 Closed-Loop Stability -- 12.4 Existence of Solutions to Kernel Equations -- 12.5 Notes and References -- 13 Bilateral Regulation of Moving Shock Position -- 13.1 Delay-Compensating Predictors for PDE-ODE Models of Traffic Shock Movement -- 13.2 Moving Shockwave Model -- 13.3 State-Dependent PDE-ODE Model -- 13.4 Predictor-Based Control Design -- From Coupled PDE-ODE to Delay System Representation -- Predictor-Based Backstepping Transformation -- 13.5 Lyapunov Analysis -- 13.6 Numerical Simulation -- 13.7 Notes and References -- 14 Extremum Seeking for Flow Maximization at Downstream Bottleneck -- 14.1 Bottleneck: Unknown Fundamental Diagram and Maximizing the Flow -- 14.2 Lane-Drop Bottleneck Control Problem -- Lane-Drop Bottleneck Model -- Linearized Reference Error System -- 14.3 Online Optimization by Extremum Seeking Control -- 14.4 Stability Analysis (Averaging, Backstepping, and Lyapunov) -- Closed-Loop System -- Average System -- Backstepping Transformation.
Lyapunov Functional.
Record Nr. UNISA-996503550703316
You Huan  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Traffic congestion control by PDE backstepping / / Huan Yu and Miroslav Krstic
Traffic congestion control by PDE backstepping / / Huan Yu and Miroslav Krstic
Autore You Huan
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (363 pages)
Disciplina 629.8
Collana Systems and Control: Foundations and Applications
Soggetto topico Automatic control
Traffic congestion
Congestió del trànsit
Models matemàtics
Control automàtic
Soggetto genere / forma Llibres electrònics
ISBN 3-031-19346-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- What Does the Book Cover? -- Who Is the Book For? -- Acknowledgments -- Contents -- Acronyms -- 1 Introduction -- 1.1 Before Control-Models -- 1.2 The Basics of Traffic Flow Modeling -- Macroscopic and Microscopic Models -- LWR and ARZ Macroscopic Models -- 1.3 Macroscopic Traffic PDE Models -- Lighthill-Whitham-Richards Model -- Aw-Rascle-Zhang Model -- 1.4 Linearized Models and Free/Congested Regimes -- Linearized LWR Model -- Linearized ARZ Model -- 1.5 Traffic Actuation -- Control Measures: Ramp Metering (RM) and Variable Speed Limits (VSL) -- Distributed and In-Domain Actuation: CAVs -- 1.6 A Brief Review of Literature on Traffic Control -- Control Employing PI and Backstepping Feedback -- Optimal Control -- Model Predictive Control -- Other Control Problems and Strategies -- 1.7 Boundary Control by RM or VSL -- Traffic Flow Boundary Control by Ramp Metering -- Traffic Velocity Boundary Control by Varying Speed Limits -- 1.8 Open-Loop Stability -- Linear Stability of LWR Model -- Linear Stability of ARZ Model -- 1.9 Numerical Simulation -- Numerical Simulation of the LWR PDE Model -- Numerical Simulation of the ARZ PDE Model -- 1.10 Notes and References -- 2 Backstepping for Coupled Hyperbolic PDEs -- 2.1 A Brief History of PDE Backstepping -- 2.2 Coupled Hyperbolic PDEs -- 2.3 Backstepping Control for Coupled Hyperbolic PDEs -- Target System -- Backstepping Transformation -- Full-State Feedback Design -- 2.4 Observer and Output-Feedback Design for General Hyperbolic PDEs -- Boundary Sensing for State Estimation -- Output Feedback Design -- 2.5 Backstepping Control for Second-Order Hyperbolic PDEs -- Target System -- Lyapunov Stability Analysis -- Full-State Feedback Design -- 2.6 Observer and Collocated Output-Feedback Design for Second-Order Hyperbolic PDEs -- Boundary Sensing for State Estimation.
Output Feedback Design -- 2.7 Notes and References -- Part I Basic Backstepping Control of Freeway Traffic -- 3 Stabilization of ARZ Model -- 3.1 What Can Be Controlled and Is It Worth Controlling with Ramp Metering? -- 3.2 Stop-and-Go Instabilities -- 3.3 Boundary Control Model -- DORM Control -- UORM Control -- Spectrum Analysis of Control Models with Zero Input -- 3.4 DORM Control Design -- 3.5 UORM Control Designs -- UORM Full-State Feedback Control Design -- UORM Anti-Collocated Boundary Observer Design -- UORM Collocated Boundary Observer Design -- UORM Output-Feedback Control Design -- 3.6 Numerical Simulation -- 3.7 Notes and References -- 4 Observer Validation on Freeway Data -- 4.1 Testing PDE Backstepping Observers on Real Freeway Data -- 4.2 Introduction to Traffic State Estimation -- 4.3 Boundary Observer Design -- Output Injection for the Linearized ARZ Model -- 4.4 Nonlinear Observer -- 4.5 Numerical Simulation -- 4.6 Model Calibration with NGSIM Data -- Data Reconstruction -- Calibration of Model Parameters -- 4.7 Data Validation of Observer with Calibrated Parameters -- 4.8 Notes and References -- 5 Adaptive Control of ARZ Traffic Model -- 5.1 Parametric Uncertainties in the ARZ Model -- 5.2 Adaptive Control for PDEs Enabled by Backstepping -- 5.3 Adaptive Output Feedback: Simultaneous Identification, Observer, and Control Design -- 5.4 Validation of Adaptive Design: Stability Proof and Simulations -- 5.5 The ARZ PDE Model with Parameter Uncertainty -- Scaling the States -- Observer Canonical Form -- 5.6 Parametric Model and Parameter Estimation -- 5.7 Filter-Based Observer Design -- 5.8 Adaptive Output-Feedback Control Design -- 5.9 Lyapunov Stability Analysis -- L2 Boundedness -- Convergence -- 5.10 Numerical Simulation -- 5.11 Notes and References -- 6 Event-Triggered Control of ARZ Model.
6.1 Event-Triggered Control and Its Role in Controlled Traffic -- 6.2 VSL Full-State Feedback Control Design -- 6.3 Event-Triggered Strategies for Boundary Control -- Static Triggering Condition -- Dynamic Triggering Condition -- 6.4 Absence of the Zeno Phenomenon -- Static Triggering Condition -- Dynamic Triggering Condition -- 6.5 Stability Results -- Static Triggering Condition -- Dynamic Triggering Condition -- 6.6 Numerical Simulations -- 6.7 Notes and References -- 7 Comparison of Backstepping with Reinforcement Learning -- 7.1 From (Model-Based) Adaptive Control to (Less Model-Based) Reinforcement Learning -- Adaptive Backstepping -- Relative Merits of RL and Adaptive Backstepping -- Learning Characteristics of RL and Adaptive Backstepping -- Reliance on Full-State Measurement -- Is RL Learning the Backstepping Feedback Law? -- Comparison of RL with Proportional-Integral Controllers -- 7.2 RL Control Approach -- 7.3 Boundary Control Problem Reformulation -- ARZ PDE Traffic Model -- Boundary Control Design -- Setpoint Control -- PDE Backstepping Control -- P Control -- PI Control -- 7.4 Control of ARZ Model by Reinforcement Learning -- Boundary Control of PDE as a MDP -- Value Function and Q-Function -- Actor-Critic -- Critic -- Actor -- Proximal Policy Optimization -- 7.5 Comparative Simulation Study -- Simulation Configuration -- Comparative Study with Full Knowledge of System Dynamics -- Learning Process of RL Controllers -- State Evolution, Reward, and Control Inputs -- Other Performance Measures -- Comparison Study with Partial Knowledge of System -- Scenario 1 of Lighter In-Domain Traffic -- Scenario 2 of Denser In-Domain Traffic -- 7.6 Notes and References -- Comparative Assessment of RL and Backstepping -- RL Versus Extremum Seeking -- Possible Advances with RL -- Code Availability -- Part II Advanced Backstepping for Traffic Flows.
8 Two-Lane Traffic Control -- 8.1 Modeling and Controlling Two Lanes: By Four PDEs and Two VSL Inputs -- 8.2 Two-Lane Traffic ARZ Model -- Driver's Preference Over Two Lanes -- VSL Control of Linearized Two-Lane ARZ Model -- 8.3 Full-State Feedback Control Design -- 8.4 Collocated Observer and Output-Feedback Control -- Collocated Observer Design -- Output-Feedback Controller -- 8.5 Numerical Simulation -- Output-Feedback Stabilization and Performance -- Different Traffic Scenarios, One-Lane Backstepping and PI Controllers -- 8.6 Notes and References -- 9 Two-Class Traffic Control -- 9.1 Diverse Driver and Vehicle Classes: Additional PDEs Controlled by a Single Input -- 9.2 Two-Class ARZ Traffic Model -- Linearized Two-Class PDE Model -- Free/Congested Regime Analysis of Two-Class Traffic -- 9.3 Boundary Control Design Model -- 9.4 Full-State Feedback Control -- 9.5 Anti-collocated Boundary Observer Design -- 9.6 Output-Feedback Control Design -- 9.7 Numerical Simulation -- Performance Indices -- 9.8 Notes and References -- 10 Control of Two Cascaded Freeway Segments -- 10.1 Taking the ARZ Control Design Beyond a Single Freeway Segment -- 10.2 Possible Control Configurations for a Cascade of Freeway Segments -- Macroscopic Modeling of a Cascade of Freeway Segments -- Boundary Control of a Cascade of Freeway Segments -- 10.3 ARZ PDE Model of a Cascade of Freeway Segments -- Actuated Boundary at Two Different Locations -- Congested Steady States ps: [/EMC pdfmark [/Subtype /Span /ActualText (left parenthesis rho 1 Superscript star Baseline comma v 1 Superscript star Baseline comma rho 2 Superscript star Baseline comma v 2 Superscript star Baseline right parenthesis) /StPNE pdfmark [/StBMC pdfmark(ρ1,v1,ρ2,v2)ps: [/EMC pdfmark [/StPop pdfmark [/StBMC pdfmark -- Linearized Model in the Riemann Coordinates -- 10.4 State Feedback Control Designs.
Feedback Law U0(t) with Flow Rate Control from x=0 -- Feedback Law UL(t) with Flow Rate Control from x=L -- 10.5 Boundary Observer Designs -- Observer with Measurement Y0(t) at x=0 -- Observer with Measurement at Outlet -- 10.6 Output-Feedback Laws -- 10.7 Robustness to Input Delays -- 10.8 Simulation Results -- Output-Feedback Stabilization -- Robustness to Delays -- Comparison with PI Controllers -- 10.9 Notes and References -- 11 Estimation of Freeway Diverge Flows -- 11.1 Traffic Flow Estimation Beyond a Single Road Segment -- 11.2 PDE Model of One Incoming and Two Outgoing Roads -- 11.3 Linearized Model in the Riemann Coordinates -- 11.4 Boundary Observer Design -- 11.5 Robustness to Disturbance and Noise -- 11.6 Notes and References -- 12 Control Under Routing-Induced Instability -- 12.1 ARZ Model with Routing Feedback -- 12.2 Feedback Design for the Linearized System -- 12.3 Closed-Loop Stability -- 12.4 Existence of Solutions to Kernel Equations -- 12.5 Notes and References -- 13 Bilateral Regulation of Moving Shock Position -- 13.1 Delay-Compensating Predictors for PDE-ODE Models of Traffic Shock Movement -- 13.2 Moving Shockwave Model -- 13.3 State-Dependent PDE-ODE Model -- 13.4 Predictor-Based Control Design -- From Coupled PDE-ODE to Delay System Representation -- Predictor-Based Backstepping Transformation -- 13.5 Lyapunov Analysis -- 13.6 Numerical Simulation -- 13.7 Notes and References -- 14 Extremum Seeking for Flow Maximization at Downstream Bottleneck -- 14.1 Bottleneck: Unknown Fundamental Diagram and Maximizing the Flow -- 14.2 Lane-Drop Bottleneck Control Problem -- Lane-Drop Bottleneck Model -- Linearized Reference Error System -- 14.3 Online Optimization by Extremum Seeking Control -- 14.4 Stability Analysis (Averaging, Backstepping, and Lyapunov) -- Closed-Loop System -- Average System -- Backstepping Transformation.
Lyapunov Functional.
Record Nr. UNINA-9910635391603321
You Huan  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui