This paper treats comprehensively the construction of problems from nonlinear dynamics
and constrained optimization amenable to parameter continuation techniques and with …

Alterations in the proportion of conventional generation to that of renewable energy source
could be a future challenge for electric energy networks. Conventional power plants are …

This paper explores the ability of physics-informed neural networks (PINNs) to solve forward
and inverse problems of contact mechanics for small deformation elasticity. We deploy …

For mechanical systems subject to periodic excitation, forced response curves (FRCs) depict
the relationship between the amplitude of the periodic response and the forcing frequency …

This paper presents a rigorous framework for the continuation of solutions to nonlinear
constraints and the simultaneous analysis of the sensitivities of test functions to constraint …

abstract Alterations in the proportion of conventional generation to that of renewable energy
source could be a future challenge for electric energy networks. Conventional power plants …

The Commonwealth Scholarship Commission (CSC) in the United Kingdom places its
primary emphasis on six distinct development-related themes namely, science and …

This paper presents a method for stabilizing grid frequency by considering demand flexibility
before allowing demand response. To this end, the flexibility of consumers under a price …

We consider optimal control problems on networks with input homogeneity and show a
reduction to a universal set of reference problems without differential constraints, whose …

The objectives of this dissertation are to develop computational techniques for i) tracking
solutions to multi-segment, delay-coupled boundary-value problems, with particular …