City University of Hong Kong Department Name



Building Automation and Reliability


      Our research aims at promoting the reliability of building control systems, which provide the functionality for building automation systems, and follow the mind map shown in Figure 1. Measurement reliability can be enhanced by the sensor/data fusion technique; control reliability can be enhanced by robust control design which takes uncertainties, nonlinearities and constraints into account; and management reliability can be enhanced by the data mining technology.


       Our current achievements include:

Mind map of building automation and reliability research


Related Publications :



Journal articles:

Djuric N., Huang G.S., Novakovic V., Data fusion heat pump performance estimation, Energy and Buildings 43, 2011, 621-630.

Sun Y.J., Wang S.W., Huang G.S., A demand limiting strategy for maximizing monthly cost savings of commercial buildings, Energy and Buildings 42, 2010, 2219-2230.

Huang G.S., Wang S.W., Xu X.H., Robust model predictive control of VAV air-handling units concerning uncertainties and constraints, HVAC&R Research, 16 (1), 2010, 15-33.

Xu X.H., Wang S.W., Huang G.S., Robust MPC for temperature control of air-conditioning systems concerning on constraints and multitype uncertainties, Building Services Engineering Research & Technology, 31 (1), 2010, 39-55.

Sun Y.J., Wang S.W., Huang G.S., Model-based optimal start control strategy for multi-chiller plant in commercial buildings, Building Services Engineering Research and Technology, 31 (2), 2010, 113-129.

Sun Y.J., Wang S.W., Huang G.S., Online sensor fault diagnosis for robust chiller sequencing control, International Journal of Thermal Sciences 49, 2010, 589-602.

Huang G.S., Model predictive control of VAV zone thermal systems concerning bi-linearity and gain nonlinearity, Control Engineering Practice 19 700¨C710, July 2011.

Huang G.S., Chow T.T., Uncertainty shift in robust predictive control design for application in CAV air-conditioning systems, Building Services Engineering Research & Technology, 32 (4), November 2011, 329-343.

Huang G.S., Sun Y.J., Li P., Fusion of redundant measurements for enhancing the reliability of total cooling load based chiller sequencing control, Automation in Construction 20, 2011, 789-798.

Djuric N., Novakovic V., Huang G.S., Lifetime commissioning as a tool to achieve energy-efficient solutions, International Journal of Energy Research, 36 (9), 2012, 987-999.

Huang G.S., Jord¨˘n F., Model-based robust temperature control for VAV air-conditioning system, HVAC&R Research 18 (3), 2012, 432-445.

Leung MC., Tse Norman CF., Lai LL., Chow TT., The use of occupancy space electrical power demand in building cooling load prediction. Energy and Buildings, 55, 2012, 151-163.

Jia QS, Zhao QC, Darabi H, Huang GS, Becerik-Gerber B, Sandberg H, Johansson KH. Smart Building Technology (TC Spotlight). IEEE Robotics & Automation Magazine, 21, 2014, 18-20.

Huang GS, Ling KV, Xu XL, Liao YD. Generalized eigenvalue minimization for uncertain first order plus time delay processes. ISA Transactions, 53, 2014, 141–149.

Zhou P, Huang GS, Li ZW. Demand-based temperature control of large-scale rooms aided by WSN: energy saving potential analysis. Energy and Buildings, 68, 2014, 532–540.

Li ZW, Huang GS. Re-evaluation of building load prediction models for use in humid subtropical area. Energy and Buildings, 62, 2013, 442-449.

Conference papers:

Huang G.S., Jordán F., Model-based robust temperature control for VAV air-conditioning system, 2012 ASHRAE annual meeting, 432-435, June 25-27, San Antonio, TX, USA.

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