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Found 24 papers, 2 papers with code
Real-time Regulation of Detention Ponds via Feedback Control: Balancing Flood Mitigation and Water Quality
In this paper, we develop a distributed quasi-2D hydrologic-hydrodynamic coupled with a reservoir flood routing model and an optimization approach (MPC) to identify the opening or closing of valves and movable gates working as spillways.
Observability for Nonlinear Systems: Connecting Variational Dynamics, Lyapunov Exponents, and Empirical Gramians
One common approach to quantify observability for nonlinear systems is via the Empirical Gramian (Empr-Gram) -- a generalized form of the Gramian of linear systems.
On the Constrained CAV Platoon Control Problem
The main objective of the connected and automated vehicle (CAV) platoon control problem is to regulate CAVs' position while ensuring stability and accounting for vehicle dynamics.
Quality-Aware Hydraulic Control in Drinking Water Networks via Controllability Proxies
An added challenge is the dependency of the water quality dynamics on the system's hydraulics, which influences the performance of the water quality controller.
Learning for System Identification of NDAE-modeled Power Systems
Finally, the paper demonstrates the efficacy and precision of the proposed NN through the identification and simulation of solution trajectories for the considered DAE-modeled power system.
On Scaling Robust Feedback Control and State Estimation Problems in Power Networks
Many mainstream robust control/estimation algorithms for power networks are designed using the Lyapunov theory as it provides performance guarantees for linear/nonlinear models of uncertain power networks but comes at the expense of scalability and sensitivity.
Robust Feedback Control of Power Systems with Solar Plants and Composite Loads
Due to the rapid developments in synchronized measurement technologies, there exist enormous opportunities to attenuate disturbances in future power grids with high penetration of renewables and complex load demands.
On Updating Static Output Feedback Controllers Under State-Space Perturbation
A typical approach to attenuate the impacts of such perturbations on the system stability is repeating the whole controller design procedure to find an updated stabilizing SOF controller.
State-Robust Observability Measures for Sensor Selection in Nonlinear Dynamic Systems
The approach is performed by discretizing the system's dynamics using the implicit Runge-Kutta method and by introducing a state-averaged observability measure.
ODE Transformations of Nonlinear DAE Power Systems
DAE system theory is less understood in the context of power system dynamics.
Revisiting the Optimal PMU Placement Problem in Multi-Machine Power Networks
A moving horizon estimation approach is explored to reconstruct the joint differential and algebraic initial states of the system, as a gateway to the OPP problem which is then formulated as a computationally tractable integer program (IP).
CAV Traffic Control to Mitigate the Impact of Congestion from Bottlenecks: A Linear Quadratic Regulator Approach and Microsimulation Study
The effectiveness of the proposed traffic control algorithms is tested using a traffic control example and compared with existing proportional-integral (PI)- and model predictive control (MPC)- based controllers from the literature.
Sorta Solving the OPF by Not Solving the OPF: DAE Control Theory and the Price of Realtime Regulation
This paper presents a new approach to solve or approximate the AC optimal power flow (ACOPF).
Comprehensive Framework for Controlling Nonlinear Multi-Species Water Quality Dynamics
Tracing disinfectant (e. g., chlorine) and contaminants evolution in water networks requires the solution of 1- D advection-reaction (AR) partial differential equations (PDEs).
Robust Dynamic State Estimation of Multi-Machine Power Networks with Solar Farms and Dynamics Loads
Conventional state estimation routines of electrical grids are mainly reliant on dynamic models of fossil fuel-based resources.
Traffic State Estimation for Connected Vehicles using the Second-Order Aw-Rascle-Zhang Traffic Model
Various state-estimation methods used for TSE in the literature along with the presented approach are compared with regard to accuracy and computational tractability with the help of a numerical study using the VISSIM traffic simulation software.
Data-Driven Identification of Dynamic Quality Models in Drinking Water Networks
Traditional control and monitoring of water quality in drinking water distribution networks (WDN) rely on mostly model- or toolbox-driven approaches, where the network topology and parameters are assumed to be known.
Dynamic State Estimation of Nonlinear Differential Algebraic Equation Models of Power Networks
This paper investigates the joint problems of dynamic state estimation of algebraic variables (voltage and phase angle) and generator states (rotor angle and frequency) of nonlinear differential algebraic equation (NDAE) power network models, under uncertainty.
Flood Risk Mitigation and Valve Control in Stormwater Systems: State-Space Modeling, Control Algorithms, and Case Studies
In addition, there is an absence of a coupled integrated control model for systems composed of watersheds, reservoirs, and channels for flood mitigation.
Control-Theoretic Modeling of Multi-Species Water Quality Dynamics in Drinking Water Networks: Survey, Methods, and Test Cases
Chlorine is a widely used disinfectant and proxy for water quality (WQ) monitoring in water distribution networks (WDN).
Feedback Stabilization and Output Tracking for Discrete-Time Lipschitz Nonlinear Systems via Iterative Convex Approximations
The stabilization of unstable nonlinear systems and tracking control are challenging engineering problems due to the encompassed nonlinearities in dynamic systems and their scale.
Model Order Reduction for Water Quality Dynamics
Such representation is a byproduct of space- and time-discretization of the PDE modeling transport dynamics.
Towards Understanding Sensor and Control Nodes Selection in Nonlinear Dynamic Systems: Lyapunov Theory Meets Branch-and-Bound
Sensor and actuator selection problems (SASP) are some of the core problems in dynamic systems design and control.
Nonlinear Dynamic Systems Parameterization Using Interval-Based Global Optimization: Computing Lipschitz Constants and Beyond
Second, we utilize a derivative-free, interval-based global maximization algorithm based on branch-and-bound framework to numerically obtain the bounding constants.
