Data‐driven optimal predictive control of seismic induced vibrations in frame structures

[1]  Vincenzo Gattulli,et al.  Adaptive control of flow-induced oscillations including vortex effects , 1999 .

[2]  Chyuan Hwan Jeng,et al.  Quick Seismic Response Estimation of Prestressed Concrete Bridges Using Artificial Neural Networks , 2004 .

[3]  T. T. Soong,et al.  Passive Energy Dissipation and Active Control , 1998 .

[4]  Felice Carlo Ponzo,et al.  Jet-Pacs Project: Dynamic Experimental Tests and Numerical Results Obtained for a Steel Frame Equipped with Hysteretic Damped Chevron Braces , 2012 .

[5]  Vincenzo Gattulli,et al.  Serviceability and Damage Scenario in Irregular RC Structures: Post-Earthquake Observations and Modeling Predictions , 2013 .

[6]  Sayed Mahmoud,et al.  Predicting Dynamic Response of Structures under Earthquake Loads Using Logical Analysis of Data , 2018 .

[7]  Alessandro De Stefano,et al.  Comparative study of vibration‐based parametric identification techniques for a three‐dimensional frame structure , 2012 .

[8]  T. T. Soong,et al.  Supplemental energy dissipation: state-of-the-art and state-of-the- practice , 2002 .

[9]  Kaamran Raahemifar,et al.  Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: A state of the art review and case study of a residential HVAC system , 2017 .

[10]  Ziemowit Dworakowski,et al.  Reinforcement learning for vibration suppression of an unknown system , 2019 .

[11]  Arcan Yanik,et al.  A new active control performance index for vibration control of three-dimensional structures , 2014 .

[12]  M. Sami Fadali,et al.  Active neural predictive control of seismically isolated structures , 2018 .

[13]  Tzu-Kang Lin,et al.  Applications of neural network models for structural health monitoring based on derived modal properties , 2018, Measurement.

[14]  Nuria Forcada,et al.  Implementation of predictive control in a commercial building energy management system using neural networks , 2017 .

[15]  Vincenzo Gattulli,et al.  Integrated Procedure for Identification and Control of MDOF Structures , 2000 .

[16]  Jinhua She,et al.  A new performance index of LQR for combination of passive base isolation and active structural control , 2018 .

[17]  B. F. Spencer,et al.  STATE OF THE ART OF STRUCTURAL CONTROL , 2003 .

[18]  Qing Wang,et al.  Semiactive Nonsmooth Control for Building Structure with Deep Learning , 2017, Complex..

[19]  Rahul Mangharam,et al.  Data predictive control using regression trees and ensemble learning , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

[20]  Marcelo A. Trindade,et al.  On the noncollocated control of structures with optimal static output feedback: Initial conditions dependence, sensors placement, and sensitivity analysis , 2019, Structural Control and Health Monitoring.

[21]  Xiaodong Feng,et al.  Energy‐based comparative analysis of optimal active control schemes for clustered tensegrity structures , 2018, Structural Control and Health Monitoring.

[22]  Mehdi Soleymani,et al.  Online control of an active seismic system via reinforcement learning , 2018, Structural Control and Health Monitoring.

[23]  Wallace E. Larimore,et al.  Canonical variate analysis in identification, filtering, and adaptive control , 1990, 29th IEEE Conference on Decision and Control.

[24]  Afzal Suleman,et al.  Predictive Control for Earthquake Response Mitigation of Buildings Using Semiactive Fluid Dampers , 2014 .

[25]  Vincenzo Gattulli,et al.  Seismic protection of frame structures via semi-active control: modeling and implementation issues , 2009 .

[26]  Rahul Mangharam,et al.  Data-Driven Model Predictive Control with Regression Trees—An Application to Building Energy Management , 2018, ACM Trans. Cyber Phys. Syst..

[27]  André Preumont,et al.  ACTIVE TENDON CONTROL OF CABLE-STAYED BRIDGES , 1996 .

[28]  Michael C. Constantinou,et al.  Semi-active control systems for seismic protection of structures: a state-of-the-art review , 1999 .

[29]  Xiang-liang Ning,et al.  Application of adaptive fuzzy sliding mode control to a seismically excited highway bridge , 2009 .

[30]  Marco Barbieri,et al.  Active vibration control of seismic excitation , 2018 .

[31]  António E. Ruano,et al.  Neural networks based predictive control for thermal comfort and energy savings in public buildings , 2012 .

[32]  Mohammad ParsaeiMaram,et al.  Anartificial Neural Network for Prediction of Seismic Behavior in RC Buildings with and Without Infill Walls , 2013 .

[33]  Ahsan Kareem,et al.  Model Predictive Control of Structures under Earthquakes using Acceleration Feedback , 2002 .

[34]  Dario Ambrosini,et al.  Data-driven model predictive control using random forests for building energy optimization and climate control , 2018, Applied Energy.

[35]  Ahsan Kareem,et al.  Real‐time model predictive control of structures under earthquakes , 2001 .

[36]  Bijan Samali,et al.  Experimental study of semi-active magnetorheological elastomer base isolation system using optimal neuro fuzzy logic control , 2019, Mechanical Systems and Signal Processing.

[37]  Thomas B. Schön,et al.  Estimating state-space models in innovations form using the expectation maximisation algorithm , 2010, 49th IEEE Conference on Decision and Control (CDC).

[38]  Eric R. Ziegel,et al.  The Elements of Statistical Learning , 2003, Technometrics.

[39]  Yozo Fujino,et al.  Model-based design and experimental validation of active vibration control for a stress ribbon bridge using pneumatic muscle actuators , 2011 .

[40]  Kazuto Seto,et al.  Active Control of Structures , 2008 .

[41]  Alfredo Germani,et al.  Identification of Forward and Feedback Transfer Functions in Closed-Loop Systems with Feedback Delay , 2017 .

[42]  Bart De Moor,et al.  N4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems , 1994, Autom..

[43]  Shirley J. Dyke,et al.  Semiactive Control Strategies for MR Dampers: Comparative Study , 2000 .

[44]  Stefan Hurlebaus,et al.  Active and Semi‐active Adaptive Control for Undamaged and Damaged Building Structures Under Seismic Load , 2012, Comput. Aided Civ. Infrastructure Eng..

[45]  Patrick Dewilde,et al.  Subspace model identification Part 1. The output-error state-space model identification class of algorithms , 1992 .

[46]  Madhur Behl,et al.  Sometimes, Money Does Grow on Trees: DR- Advisor, A Data Driven Demand Response Recommender System , 2016 .

[47]  José Rodellar,et al.  Modal predictive control of structures. I: Formulation , 1994 .

[48]  Alessandro D'Innocenzo,et al.  Data-driven Switched Affine Modeling for Model Predictive Control , 2018, ADHS.

[49]  Vincenzo Gattulli,et al.  Analytical prediction and experimental validation for longitudinal control of cable oscillations , 2008 .

[50]  Hai-Le Bui,et al.  Application of hedge algebra‐based fuzzy controller to active control of a structure against earthquake , 2013 .

[51]  N. S. Khalid,et al.  N4SID and MOESP subspace identification methods , 2013, 2013 IEEE 9th International Colloquium on Signal Processing and its Applications.