Results 61 to 70 of about 1,048 (181)
This paper addresses the problem of optimal H2-filtering for a class of continuous-time linear McKean–Vlasov stochastic differential equations under sampled measurements.
Vasile Dragan, Samir Aberkane
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Solutions for certain classes of the Riccati differential equation
We derive some analytic closed-form solutions for a class of Riccati equation y'(x)-λ_0(x)y(x)\pm y^2(x)=\pm s_0(x), where λ_0(x), s_0(x) are C^{\infty}-functions. We show that if δ_n=λ_n s_{n-1}-λ_{n-1}s_n=0, where λ_{n}= λ_{n-1}^\prime+s_{n-1}+λ_0λ_{n-1} and s_{n}=s_{n-1}^\prime+s_0λ_{k-1}, n=1,2,..., then The Riccati equation has a solution given by
Ciftci, HAKAN +2 more
openaire +3 more sources
ABSTRACT Designing safe control laws for nonlinear systems is challenging, especially when ensuring stability under actuator saturation and state constraints. A key aspect is embedding controllers with a Region of Attraction (ROA), which defines initial conditions guaranteeing convergence to a stable equilibrium point (EP).
Bhaskar Biswas +3 more
wiley +1 more source
Numerical solution of differential algebraic riccati equations
The numerical solution of the matrix differential algebraic Riccati equation (DARE) arising from singular or descriptor control problems is studied. The solvability of such equations under different conditions is discussed. Numerical methods for the solution of the DAREs are applied to these equations after a transformation of the DARE to a form where ...
Kunkel, P., Mehrmann, V.
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A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Atmospheric Constituent Data Assimilation in NASA's Goddard Earth Observing System
Abstract Many of today's most significant and urgent scientific questions, including those about the impact of human activity on air quality and radiative forcing, require the synthesis of observations of atmospheric constituents and scientific theory.
B. Weir +11 more
wiley +1 more source
Measured‐State Conditioned Recursive Feasibility for Stochastic Model Predictive Control
ABSTRACT In this paper, we address the problem of designing stochastic model predictive control (SMPC) schemes for linear systems affected by unbounded disturbances. The contribution of the paper is rooted in a measured‐state initialization strategy. First, due to the nonzero probability of violating chance‐constraints in the case of unbounded noise ...
Mirko Fiacchini +2 more
wiley +1 more source
Photonic Doping of Epsilon‐Near‐Zero Bragg Microcavities
Photonic doping of an epsilon‐near‐zero (ENZ) Bragg microcavity at optical frequencies induces strong magnetic responses from dielectric inclusions, enabling intense field localization, Purcell enhancement, and tunable hybrid Bragg–Mie modes. The platform supports perfect magnetic conductor and epsilon‐and‐mu‐near‐zero regimes, offering opportunities ...
Ali Panahpour +2 more
wiley +1 more source
Wintner-type nonoscillation theorems for conformable linear Sturm-Liouville differential equations [PDF]
In this study, we addressed the nonoscillation of th Sturm-Liouville differential equation with a differential operator, which corresponds to a proportional-derivative controller. The equation is a conformable linear differential equation. A Wintner-type
Kazuki Ishibashi
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Oscillation criteria for nonlinear fractional differential equation with damping term
In this paper, we study the oscillation of solutions to a non-linear fractional differential equation with damping term. The fractional derivative is defined in the sense of the modified Riemann-Liouville derivative. By using a variable transformation, a
Bayram Mustafa +2 more
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