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Adaptive Robust Short-Term Planning of Electrical Distribution Systems Considering Siting and Sizing of Renewable Energy-based DG Units
(2018-04-19)
Short-term planning is a decision-making process that aims at ensuring proper performance of electrical distribution systems (EDSs) within a short period of time. In recent years, this process has faced a significant ...
Robust adaptive control using multiple models, switching and tuning
(Inst Engineering Technology-iet, 2011-12)
The supervisory control problem is analysed as an online robust design problem using switching to select the relevant models for designing the control law. The proposed supervisory control algorithm is based on the integration ...
Adaptive Robust Linear Programming Model for the Charging Scheduling and Reactive Power Control of EV Fleets
(Ieee, 2021-01-01)
High penetration of electric vehicles (EVs) triggers challenges and opportunities for distribution system operators. Inverter-based EV chargers with active/reactive power control can be used to coordinate the EV fleet's ...
Adaptive Robust Linear Programming Model for the Charging Scheduling and Reactive Power Control of EV Fleets
(2021-06-28)
High penetration of electric vehicles (EVs) triggers challenges and opportunities for distribution system operators. Inverter-based EV chargers with active/reactive power control can be used to coordinate the EV fleet's ...
Multiple model approach for robust state estimation in presence of model uncertainty and bounded disturbances
(Cornell University, 2019-06)
In the present work, an optimization-based algorithm for state estimation under model uncertainty and bounded disturbances is presented. In order to avoid to solve a non-convex optimization problem, model and state estimation ...
A Robust Orthogonal Adaptive Approach to SISO Deconvolution
(Hindawi Publishing Corporation, 2004-10)
This article presents a design procedure for an adaptive deconvolution processor with an orthogonal structure provided by a family of basis functions. The processor is designed to be robust to small parametric uncertainties ...
Fractional adaptive systems in the presence of bounded disturbances and parameter variations
(Wiley, 2017)
This paper presents the analysis of fractional adaptive systems in the presence of bounded disturbances and parameter variations. Fractional adaptive systems are analyzed using the error model approach, to give generality ...
Efficient and Robust Model Benchmarks with Item Response Theory and Adaptive Testing
Progress in predictive machine learning is typically measured on the basis of performance comparisons on benchmark datasets. Traditionally these kinds of empirical evaluation are carried out on large numbers of datasets, ...
A Robust Adaptive Path-Following Controller for a Robotic Wheelchair
(Springer, 2013-06)
This article proposes a path-following controller for robotic wheelchairs (RW) used to transport people suffering of severe muscular diseases, taking into account velocity bounds and dynamic effects. A parameterized dynamic ...