Results 61 to 70 of about 1,417,876 (221)
Design and Validation of Zeroing Neural Network to Solve Time-Varying Algebraic Riccati Equation
Many control problems require solving the algebraic Riccati equation (ARE). Previous studies have focused more on solving the time-invariant ARE than on solving the time-varying ARE (TVARE).
Hang Liu, Tie Wang, Dongsheng Guo
doaj +1 more source
ABSTRACT This study investigates control strategies for large‐scale floating offshore wind turbines using the semi‐submersible IEA 15‐MW turbine as a benchmark. A gain‐scheduled PI (GSPI) controller is firstly established as the baseline for collective pitch control (CPC).
Dongxiao Bai +3 more
wiley +1 more source
On the Synthesis of a Linear Quadratic Controller for a Quadcopter
This paper discusses about synthesizing a state-feedback controller for a quadcopter based on an optimal linear quadratic control method. The resulting flight control system enables the quadcopter to maintain stability and to track a reference input. The
Hendra Gunawan Harno
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On the generalized algebraic Riccati equations
Abstract Three hundred years have passed since Jacopo Francesco Riccati analyzed a quadratic differential equation that would have been of crucial importance in many fields of engineering and applied mathematics. Indeed, countless variations and generalizations of this equation have been considered as they proved to be the right mathematical tool to ...
Ferrante, A., Ntogramatzidis, Lorenzo
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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
EXPERIMENTAL IMPLEMENTATION OF SDRE METHOD FOR AUTONOMOUS RENDEZVOUS AND DOCKING MANEUVERING [PDF]
In this paper a nonlinear controller technique, referred to State-Dependent Riccati Equation (SDRE), is exploited to handle relative position tracking and attitude synchronization problem involving in docking manoeuvring operations between two Earth ...
Theil, Stephan +3 more
core
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
On one method for solving Riccati equations
In this paper, we investigate the construction of particular solutions to scalar and matrix Riccati equations. We find a condition that ensures a relationship between particular solutions to the Riccati and Bernoulli equations, as well as to ...
A. K. Kerimbekov
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Adaptive Leader-Following Consensus of Multi-Agent Systems with Unknown Nonlinear Dynamics
This paper deals with the leader-following consensus of multi-agent systems with matched nonlinear dynamics. Compared with previous works, the major difficulty here is caused by the simultaneous existence of nonidentical agent dynamics and unknown system
Junwei Wang, Kairui Chen, Qinghua Ma
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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

