Results 91 to 100 of about 40,676 (212)
A Reinforcement Learning–Controlled Novel Mode‐Switching Hybrid Mass Damper on a Real Tower
This work proposes a novel passive, semiactive and active mode‐switching hybrid mass damper (MSHMD) solution for the control of an actual high‐rise tower. For the mode‐switching control of the considered building system, a reinforcement learning algorithm, Deep Q‐Network (DQN), was implemented.
Lefteris Koutsoloukas +3 more
wiley +1 more source
ABSTRACT Modeling wave propagation in soil using conventional finite element methods necessitates the simulation of extensive spatial domains to prevent reflections at artificial boundaries. Classical absorbing boundary conditions can be used to mitigate this problem, but must be placed at a considerable distance from the area of interest to ensure ...
Tobias Kuhn +2 more
wiley +1 more source
Grassmannian flows and applications to nonlinear partial differential equations
We show how solutions to a large class of partial differential equations with nonlocal Riccati-type nonlinearities can be generated from the corresponding linearized equations, from arbitrary initial data.
A Abbondandolo +39 more
core +1 more source
Optimal Liquidation With Signals: The General Propagator Case
ABSTRACT We consider a class of optimal liquidation problems where the agent's transactions create transient price impact driven by a Volterra‐type propagator along with temporary price impact. We formulate these problems as maximization of a revenue‐risk functionals, where the agent also exploits available information on a progressively measurable ...
Eduardo Abi Jaber, Eyal Neuman
wiley +1 more source
Optimal control of fractional systems: a diffusive formulation [PDF]
Optimal control of fractional linear systems on a finite horizon can be classically formulated using the adjoint system. But the adjoint of a causal fractional integral or derivative operator happens to be an anti-causal operator: hence, the adjoint ...
Matignon, Denis
core
Abstract Traditional fluids have low thermal conductivity and their utility in engineering is well established. Hence, in order to enhance heat transfer features in a variety of disciplines, notably electronics, medicine, and molten metals, scientists and researchers have developed nanofluids, which are composed of nanoparticles dispersed in a base ...
Ulavathi Shettar Mahabaleshwar +4 more
wiley +1 more source
Oscillation Behavior for a Class of Differential Equation with Fractional-Order Derivatives
By using a generalized Riccati transformation technique and an inequality, we establish some oscillation theorems for the fractional differential equation [atpt+qtD-αxt)γ′ − b(t)f∫t∞(s-t)-αx(s)ds = 0, for t⩾t0>0, where D-αx is the Liouville right-sided ...
Shouxian Xiang +3 more
doaj +1 more source
The Oscillatory of Linear Conformable Fractional Differential Equations of Kamenev Type
In this paper, the oscillatory of the Kamenev-type linear conformable fractional differential equations in the form of ptyα+1tα+yα+1t+qtyt=0 is studied, where t≥t0 and ...
Hui Liu, Run Xu
doaj +1 more source
In this paper, we discuss a class of fractional differential equations of the form D-α+1y(t)·D-αy(t)-p(t)f(D-αy(t))+q(t)h∫t∞(s-t)-αy(s)ds=0.D-αy(t) is the Liouville right-sided fractional derivative of order α∈(0,1).
Hui Liu, Run Xu
doaj +1 more source
In this paper, we firstly give a counterexample to indicate that the chain rule is lack of accuracy. After that, we put forward the fractional Riccati expansion method.
Xiaohua Liu
semanticscholar +1 more source

