68 citations · 107 across the 7 of their papers we have counts for
8 papers
Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version)
Algo Carè, Erik Weyer, Balázs Cs. Csáji +1
Sign-Perturbed Sums (SPS) is a system identification method that constructs confidence regions for the unknown system parameters. In this paper, we study SPS for ARX systems, and e…
Stochastic Co-design of Storage and Control for Water Distribution Systems
Ye Wang, Erik Weyer, Chris Manzie +2
Water distribution systems (WDSs) are typically designed with a conservative estimate of the ability of a control system to utilize the available infrastructure. The controller is…
Improved Pump Setpoint Selection Using a Calibrated Hydraulic Model of a High-Pressure Irrigation System
Ye Wang, Qi Zhao, Wenyan Wu +3
This paper presents a case study of the operational management of the Robinvale high-pressure piped irrigation water delivery system (RVHPS) in Australia. Based on datasets availab…
Granger Causality from Quantized Measurements
Salman Ahmadi, Girish N. Nair, Erik Weyer
An approach is proposed for inferring Granger causality between jointly stationary, Gaussian signals from quantized data. First, a necessary and sufficient rank criterion for the e…
Minimizing Pumping Energy Cost in Real-time Operations of Water Distribution Systems using Economic Model Predictive Control
Ye Wang, Kevin Too Yok, Wenyan Wu +3
Optimizing pump operations is a challenging task for real-time management of water distribution systems (WDSs). With suitable pump scheduling, pumping costs can be significantly re…
Identification of FIR Systems with Binary Input and Output Observations
Alex S. Leong, Erik Weyer, Girish N. Nair
This paper considers the identification of FIR systems, where information about the inputs and outputs of the system undergoes quantization into binary values before transmission t…
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models
Balázs Cs. Csáji, Marco C. Campi, Erik Weyer
We propose a new system identification method, called Sign-Perturbed Sums (SPS), for constructing non-asymptotic confidence regions under mild statistical assumptions. SPS is intro…
Sign-Perturbed Sums (SPS) with Instrumental Variables for the Identification of ARX Systems - Extended Version
Valerio Volpe, Balázs Cs. Csáji, Algo Carè +2
We propose a generalization of the recently developed system identification method called Sign-Perturbed Sums (SPS). The proposed construction is based on the instrumental variable…