https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Natural oscillation in compass-gait biped robots https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30057 Wed 11 Apr 2018 11:22:30 AEST ]]> Using indirect inference to identify models of vestibular nerve response in an isolated inner ear https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29310 Wed 04 Sep 2019 12:23:25 AEST ]]> Low-order control design using a novel rank-constrained optimization approach https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29307 Wed 04 Sep 2019 12:18:15 AEST ]]> A methodology for the comparison of traditional MPC and stochastic MPC in the context of the regulation of blood glucose levels in type 1 diabetics https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27825 Sat 24 Mar 2018 07:41:14 AEDT ]]> Transient climate response in the DICE integrated assessment model of climate-economy https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29177 2). Central to any IAM is a climate model capturing the dynamic response of global surface temperature to changes in net downward radiative forcing due to the atmospheric accumulation of heat-trapping greenhouse gases. The transient climate response (TCR), defined as the temperature change at the time of CO2 doubling under a scenario in which CO2 concentrations increase by 1% yr-1, plays a central role in quantifying the economic impacts of climate change on policy-relevant timescales. In this paper, we propose an optimization-based methodology for computing the parameters of a climate model in such a way that the resulting model exhibits a specified TCR. The methodology developed in this paper targets the climate model parameterization employed in DICE (Dynamic Integrated model of Climate and the Economy), a widely studied IAM for which TCR is only indirectly specified. Results reported herein enable policymakers using DICE to compute optimal CO2 emissions pathways which directly reflect the TCR of state-of-the-art climate models documented in the most recent(Fifth) Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC).]]> Sat 24 Mar 2018 07:35:44 AEDT ]]> On the reachability property for networks of linear time-invariant subsystems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29305 Sat 24 Mar 2018 07:34:23 AEDT ]]> Analysis of discrete-time nonlinear ℓ₂-gain bounds via dynamic programming https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29309 Sat 24 Mar 2018 07:34:22 AEDT ]]> Experimental assessment of dynamic digital-to-analog converter performance for applications in precision mechatronic systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29311 Sat 24 Mar 2018 07:34:22 AEDT ]]> An optimization-based algorithm for model selection using an approximation of Akaike's Information Criterion https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29285 Sat 24 Mar 2018 07:32:53 AEDT ]]> Individualization of stochastic models from population statistics for blood glucose regulation in Type 1 diabetes patients https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29287 Sat 24 Mar 2018 07:32:52 AEDT ]]> Model predictive control of linear time varying systems using Laguerre functions https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29288 Sat 24 Mar 2018 07:32:52 AEDT ]]> Model predictive control of distributed air-conditioning loads for mitigation of solar variability https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34715 Fri 26 Apr 2019 11:54:23 AEST ]]>