This paper focuses on modelling and controlling an unstable chaotic system defined by a set of input–output data. This approach works in two phases: a model of the system is determined, and then a control mechanism is activated to stabilize unstable fixed point and unstable periodic orbit embedded in the chaotic system. In the modelling phase, a Takagi–Sugeno (T–S) fuzzy system with Gaussian fu...

Experiments and theory characterize the novel chaotic neoclassical transport scaling as νcB in contrast to traditional collisional neoclassical transport scaling as ν 1/2 c B−1/2. This chaotic transport occurs when local trapping separatrices have θ-variations or temporal fluctuations. Experiments observe bulk particle transport, damping of Langmuir waves and diocotron waves, and nonlinear wave...

This paper proposes a TD (temporal difference) and GA (genetic algorithm) based reinforcement (TDGAR) neural learning scheme for controlling chaotic dynamical systems based on the technique of small perturbations. The TDGAR learning scheme is a new hybrid GA, which integrates the TD prediction method and the GA to fulfill the reinforcement learning task. Structurely, the TDGAR learning system i...

Abstract DNA has recently been investigated as a possible medium concerning ultra-compact information storage and ultra-scale computation. The development of secure image encryption systems received certain effective new direction from chaos-based cryptographic algorithms. This paper proposes novel algorithm, 2DNALM , based on double-dynamic sequence chaotic 2D logistic map. three phases regard...

This research paper presents a novel digital color image encryption approach that ensures high-level security while remaining simple and efficient. The proposed method utilizes composite key r x of 128-bits to create small in-dimension private (a chaotic map), which is then resized match the matrix dimension. uncomplicated can be applied any without modification. Image quality, sensitivity anal...