701 - 702 |
Introduction to the Special Issue on Energy Efficient Buildings Skogestad S, Mhaskar P |
703 - 713 |
Thermal comfort control using a non-linear MPC strategy: A real case of study in a bioclimatic building Castilla M, Alvarez JD, Normey-Rico JE, Rodriguez F |
714 - 722 |
Inference of building occupancy signals using moving horizon estimation and Fourier regularization Zavala VM |
723 - 739 |
Nonlinear model reduction and model predictive control of residential buildings with energy recovery Touretzky CR, Baldea M |
740 - 749 |
Efficient building energy management using distributed model predictive control Scherer HF, Pasamontes M, Guzman JL, Alvarez JD, Camponogara E, Normey-Rico JE |
750 - 762 |
Low computational cost technique for predictive management of thermal comfort in non-residential buildings Garnier A, Eynard J, Caussanel M, Grieu S |
763 - 772 |
Learning decision rules for energy efficient building control Domahidi A, Ullmann F, Morari M, Jones CN |
773 - 781 |
Energy efficient control of HVAC systems with ice cold thermal energy storage Beghi A, Cecchinato L, Rampazzo M, Simmini F |
782 - 789 |
Demand-side response model to avoid spike of electricity price Marwan M, Ledwich G, Ghosh A |
790 - 797 |
Model-based energy efficient control applied to an office building Vana Z, Cigler J, Siroky J, Zacekova E, Ferkl L |
798 - 819 |
Partially decentralized control of large-scale variable-refrigerant-flow systems in buildings Jain N, Koeln JP, Sundaram S, Alleyne AG |
820 - 835 |
Decentralized predictive thermal control for buildings Chandan V, Alleyne AG |
836 - 845 |
Predictive and interactive controllers for solar absorption cooling systems in buildings Herrera E, Bourdais R, Gueguen H |
846 - 855 |
Intelligent BEMS design using detailed thermal simulation models and surrogate-based stochastic optimization Kontes GD, Valmaseda C, Giannakis GI, Katsigarakis KI, Rovas DV |
856 - 870 |
Phase analysis and statistical modeling with limited batches for multimode and multiphase process monitoring Zhao CH |
871 - 879 |
Constrained two dimensional recursive least squares model identification for batch processes Cao ZX, Yang Y, Lu JY, Gao FR |
880 - 891 |
Nonlinear process monitoring and fault isolation using extended maximum variance unfolding Liu YJ, Chen T, Yao Y |
892 - 904 |
H-infinity state-feedback control of time-delay systems using reciprocally convex approach Vembarasan V, Balasubramaniam P, Joo EM |
905 - 915 |
Sensitivity enhancing transformations for monitoring the process correlation structure Rato TJ, Reis MS |
916 - 923 |
Multi-mode acid concentration prediction models of cold-rolled strip steel pickling process He F, Li M, Wang BJ |
924 - 938 |
H-infinity model predictive control for discrete-time switched linear systems with application to drinking water supply network Benallouch M, Schutz G, Fiorelli D, Boutayeb M |
939 - 946 |
Boundary geometric control of a linear Stefan problem Maidi A, Corriou JP |
947 - 956 |
Actuator-fault detection and isolation based on set-theoretic approaches Xu F, Puig V, Ocampo-Martinez C, Stoican F, Olaru S |
957 - 965 |
A weighted variable gain super-twisting observer for the estimation of kinetic rates in biological systems Vargas A, Moreno JA, Vande Wouwer A |
966 - 974 |
Generic model identification framework for thermodynamic engines for use in hybrid power stations control and simulation Alamir M, Rahmani MA, Gualino D |
975 - 990 |
Modeling for soft sensor systems and parameters updating online Cao PF, Luo XL |
991 - 1001 |
Getting the most out of it: Optimal experiments for parameter estimation of microalgae growth models Munoz-Tamayo R, Martinon P, Bougaran G, Mairet F, Bernard O |
1002 - 1014 |
Discrete-time frequency response identification method for processes with final cyclic-steady-state Ryu KH, Lee SN, Nam CM, Lee J, Sung SW |
1015 - 1023 |
Decision support in machine vision system for monitoring of TFT-LCD glass substrates manufacturing Yousefian-Jazi A, Ryu JH, Yoon S, Liu JJ |