Abstract We describe a computational technology for studying the effects of aerosol-radiation interaction and calculating regional estimates direct (DRE) semidirect radiative (SDRE) biomass burning (BB) aerosol based on simulations with CHIMERE chemistry transport model coupled WRF meteorological model. The was applied to numerical Siberian in eastern Arctic period July 16–31, 2016. show that s...

The continuous expansion of green finance makes it a new scheme to stimulate economic vitality, but its stimulation path remains be explored. Using the panel data 30 regions in China from 2016 2020, this research utilized an entropy method evaluate and sustainable development regional economy (SDRE), then discussed their coupling coordination relationship heterogeneity. results show that: (1) d...

The State-Dependant Riccati Equation method has been frequently used to design suboptimal controllers applied to nonlinear dynamic systems. Different methods for local stability analysis of SDRE controlled systems of order greater than two such as the attitude dynamics of a general rigid body have been extended in literature; however, it is still difficult to show global stability properties of...

This paper addresses the control problem of an electrohydraulic velocity servo-system (EHVSS). Two control schemes are proposed for the stabilization of the system. The first scheme is a dynamic sliding mode controller (SMC), and the second scheme is a linear quadratic regulator-like control law which is based on the state-dependent Riccati equation (SDRE) approach. When applying the SMC techni...

Abstract: The topic of single or multiple objective, optimal control or design has been a very attractive and desirable feature for many dynamic and static systems such as aerospace, electrical, mechanical and robotics, nuclear and aerospace engineering. In particular, in dynamic optimization of nonlinear systems, recent research interest has been the nonlinear, optimal, feedback control using ...

Abstract The synthesis of suboptimal feedback laws for controlling nonlinear dynamics arising from semi-discretized PDEs is studied. An approach based on the State-dependent Riccati Equation (SDRE) presented 2 and ∞ control problems. Depending nonlinearity dimension resulting problem, offline, online, hybrid offline-online alternatives to SDRE are proposed. method reduces sequential solution Ly...

This chapter shares with Chapter 9 the adoption of a model predictive control (MPC) framework for flight control applications, but the details differ substantially. In particular, the control feedback in this case is a superposition of a neural-network-based nonlinear mapping and a nonlinear state-dependent Riccati equation (SDRE) controller. The neural network is optimized (trained) online for...