6 papers
Data-Driven Learning of Unknown Nonlinear Differential Equations Using Functional Analysis
Seyyed Shaho Alaviani, Yongzhi Qu, Gregory W. Vogl
In this paper, the problem of data-driven discovery of nonlinear ordinary differential equations (ODEs) is recast, and a new interpretable machine learning (ML) method is proposed.…
Distributed Convex Optimization with State-Dependent (Social) Interactions over Random Networks
Seyyed Shaho Alaviani, Atul Kelkar
This paper aims at distributed multi-agent convex optimization where the communications network among the agents are presented by a random sequence of possibly state-dependent weig…
Distributed Model-Predictive Energy Management Strategy for Shipboard Power Systems Considering Battery Degradation
Satish Vedula, Seyyed Shaho Alaviani, Olugbenga Moses Anubi
With the integration of loads such as pulse power loads, a new control challenge is presented in meeting their high ramp rate requirements. Existing onboard generators are ramp rat…
Reciprocity of Algorithms Solving Distributed Consensus-Based Optimization and Distributed Resource Allocation
Seyyed Shaho Alaviani, Atul Gajanan Kelkar, Umesh Vaidya
This paper aims at proposing a procedure to derive distributed algorithms for distributed consensus-based optimization by using distributed algorithms for network resource allocati…
Convex Optimization over Fixed Value Point Set of Quasi-Nonexpansive Random Operators on Hilbert Spaces
S. Sh. Alaviani
In this paper, a new optimization framework is defined that includes the optimization framework recently proposed in [1]-[2] as a special case. The convex optimization in [1]-[2] i…
A Distributed Algorithm for Solving Linear Algebraic Equations Over Random Networks
S. Sh. Alaviani, N. Elia
In this paper, we consider the problem of solving linear algebraic equations of the form among multi agents which seek a solution by using local information in presence of r…