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A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
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, Anthony Siming Chen, Guido Herrmann +2 more
wiley +1 more source

Assessing microbiome engraftment extent following fecal microbiota transplant with q2-fmt. [PDF]

PLoS Comput Biol
Herman C +4 more
europepmc +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source

Lattice structure musculoskeletal robots: Harnessing programmable geometric topology and anisotropy. [PDF]

Sci Adv
Guan Q, Dai B, Cheng HH, Hughes J.
europepmc +1 more source

Finely Tuned Gamma Oscillations in the Globus Pallidus Internus in Parkinson's Disease. [PDF]