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Found 11 papers, 2 papers with code
Composition Vision-Language Understanding via Segment and Depth Anything Model
We introduce a pioneering unified library that leverages depth anything, segment anything models to augment neural comprehension in language-vision model zero-shot understanding.
Unified Control of Voltage, Frequency and Angle in Electrical Power Systems: A Passivity and Negative-Imaginary based Approach
This paper proposes a unified methodology for voltage regulation, frequency synchronization, and rotor angle control in power transmission systems considering a one-axis generator model with time-varying voltages.
On the Stability of Networked Nonlinear Negative Imaginary Systems with Applications to Electrical Power Systems
In the transition to achieving net zero emissions, it has been suggested that a substantial expansion of electric power grids will be necessary to support emerging renewable energy zones.
Competitive Equilibrium in Microgrids With Dynamic Loads
We establish a local energy market by defining a competitive equilibrium which balances energy and satisfies voltage constraints within the microgrid for all time.
A Nonlinear Negative Imaginary Systems Framework with Actuator Saturation for Control of Electrical Power Systems
By constructing a novel Lur'e-Postnikov-like Lyapunov function, a stability result is developed for the feedback interconnection of a nonlinear negative imaginary system and a nonlinear negative imaginary controller.
Design and Stability of Angle based Feedback Control in Power Systems: A Negative-Imaginary Approach
Our approach to frequency and angle control centers on equipping generator buses with large-scale batteries that are controllable on a fast timescale.
A Matlab and CasADi-based Implementation of RICE Dynamic Game
The most widely used integrated assessment model for studying the economics of climate change is the dynamic/regional integrated model of climate and economy (DICE/RICE).
Competitive Equilibrium for Dynamic Multi-Agent Systems: Social Shaping and Price Trajectories
We shape individual preferences through a set of utility functions to guarantee the resource price at a competitive equilibrium remains socially acceptable, i. e., the price is upper-bounded by an affordability threshold.
Social Shaping of Dynamic Multi-Agent Systems over a Finite Horizon
By shaping these preferences and proposing a set of utility functions, we can guarantee that the optimal resource price at the competitive equilibrium always remains socially acceptable, i. e., it never violates a given threshold that indicates affordability.
Network Learning in Quadratic Games from Fictitious Plays
Next, in view of the inherent stability and sparsity constraints for the network interaction structure, we propose a stable and sparse system identification framework for learning the interaction graph from full player action observations.
Social Shaping for Transactive Energy Systems
This paper considers the problem of shaping agent utility functions in a transactive energy system to ensure the optimal energy price at a competitive equilibrium is always socially acceptable, that is, below a prescribed threshold.
