Results 61 to 70 of about 861 (177)
Adaptive Multilevel Feature Fusion and Dynamic Model Updating for Robust Visual Object Tracking
Object tracking remains a challenging task due to significant variations in the appearance of target objects caused by factors such as deformation, occlusion, and rapid movement. These variations often result in model drift and tracking failure, particularly in complex and dynamic environments.
Xianyou Zeng +7 more
wiley +1 more source
With the development of industrial demand, precise identification of system models is currently required in the field of industrial control, which limits the whale search algorithm.
Lu Zhao, Jiangjun Liu, Yuan Li
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Design of Self-Tuning Regulator for Large-Scale Interconnected Hammerstein Systems
This paper deals with the self-tuning regulator for large-scale stochastic nonlinear systems, which are composed of several interconnected nonlinear monovariable subsystems.
Mourad Elloumi, Samira Kamoun
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Locally Bounded Second κ‐Variation Solution of an Integro‐Differential Equation With Infinite Delay
This work presents conditions under which the Volterra integral equation of the second kind admits a unique solution in the class of locally bounded second κ‐variation functions on [0, +∞). Our approach relies on successive Picard iterations to obtain such a solution on a compact interval, and then to prolong it to [0, +∞).
Luz Elimar Marchan +3 more
wiley +1 more source
This paper presents the double-layered nonlinear model predictive control method for a continuously stirred tank reactor and a pH neutralization process that are subject to input disturbances and output disturbances at the same time.
Hongbin Cai +3 more
doaj +1 more source
Recursive Parsimonious Subspace Identification for Closed-Loop Hammerstein Nonlinear Systems
In this paper, a recursive closed-loop subspace identification method for Hammerstein nonlinear systems is proposed. To reduce the number of unknown parameters to be identified, the original hybrid system is decomposed as two parsimonious subsystems ...
Jie Hou +4 more
doaj +1 more source
Data-driven modeling approaches for pressure drop prediction in a multi-phase flow system
Accurate prediction of pressure drops in multi-phase flow systems is essential for optimizing processes in industries such as oil and gas, where operational efficiency and safety depend on reliable modeling.
Nezar M. Alyazidi +2 more
doaj +1 more source
Robust integral sliding mode control for pressure management in multi-phase flow systems
This study proposes a novel discrete-time integral sliding mode control (ISMC) framework for managing pressure in multi-phase flow systems (MPFS), a critical component of hydrocarbon production and transportation.
Nezar M. Alyazidi +2 more
doaj +1 more source
Stability of Discrete Systems Controlled in the Presence of Intermittent Sensor Faults
This paper presents sufficient conditions for stability of unstable discrete time invariant models, stabilized by state feedback, when interrupted observations due to intermittent sensor faults occur.
Rui Vilela Dionísio, João M. Lemos
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A Correlation Analysis-Based Hierarchical Identification Strategy for Hammerstein Models
Reliable mathematical models are essential for high-performance analysis and optimization of complex power and energy systems. However, inherent nonlinearities pose significant challenges to accurate model identification. The Hammerstein model, a typical
Qi Dong +3 more
doaj +1 more source

