Retrospection of Nonlinear Adaptive Algorithm-Based Intelligent Plane Image Interaction System. [PDF]
Guan Z +5 more
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Convergence of Adaptive Algorithms for Equilibrium Problems in Hadamard Spaces
In this paper, we consider the equilibrium problems under the setting of Hadamard spaces. For an approximate solution of equilibrium problems, iterative adaptive two-stage proximal algorithms are proposed and studied.
Serhii V. Denysov +2 more
doaj +1 more source
Dynamic compensation of stray electric fields in an ion trap using machine learning and adaptive algorithm. [PDF]
Ghadimi M +5 more
europepmc +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
In 2002,K.M.Passino proposed Bacterial Foraging Optimization Algorithm(BFOA) for distributed optimization and control.Biologic foraging strategies are diverse.Based on social and intelligent foraging theory,this paper proposed an adaptive bacterial ...
Zhu YL(朱云龙), Shen H(申海)
core
An Adaptive, Algorithm-based Text Message Intervention to Promote Health Behavior Adherence in Type 2 Diabetes: Treatment Development and Proof-of-Concept Trial. [PDF]
Celano CM +8 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
A multi-dimensional adaptive sampling algorithm and its application to Fermi surfaces
The aim of this research is to develop an N -dimensional adaptive sampling algorithm to efficiently sample functions, meaning that with fewer samples the same accuracy is achieved compared to what homogeneously spaced samples would achieve.
Hoofwijk, Jorn (author)
core
Adaptive low-coherence sequence design algorithm | based on fuzzy logic control
Low-coherence sequences with low peak-to-average power ratio (PAPR) are widely applied in multicarrier communication systems such as orthogonal frequency division multiple access (OFDMA).
Guo Xiaojin, Yong Mingjie, Wang Zeyu
doaj +2 more sources

