Parameter identification of time-delay chaotic system using chaotic ant swarm

Input delay estimation using quadratic programming

“…As can be seen, there is a marked improvement in the three performance indexes, especially in terms of the reduction in bias. In fact, the results are now similar to those obtained for τ = 5 with the original intervalτ ∈ [1,9]. ←τ ∈ [1,9] ←τ ∈ [1,9] ←τ ∈ [5,13] ←τ ∈ [5,13] ←τ ∈ [1,9] ←τ ∈ [1,9] ←τ ∈ [5,13] ←τ ∈ [5,13] σ noise SDV (c) QP BQP Fig.…”

“…The range of possible integer values for the input delay is set to [1,9] for estimation purposes. Within this range, three cases are considered for the actual delay value: τ = 5, τ = 7 and τ = 9.…”

“…In telecommunications, delays between different nodes of a communications link are investigated in [6]. The estimation of delays has also been studied in the context of fault identification [7] and chaotic systems [1], [8], [9].…”

The agile improvement of MMORPGs based on the enhanced chaotic neural network

“…Recently, as an alternative to the classical mathematical methods, some chaos-based heuristic optimization techniques, such as CNN, chaotic particle swarm optimization [1,33], chaos genetic algorithm [21], and chaotic ant swarm [32], have been given much attention by many researchers owing to their ability to obtain the almost global optimal solutions. In this section, we give a survey of CNN research with a special emphasis on the control of chaotic behaviors.…”

Online time delay identification and control for general classes of nonlinear systems

“…Niculescu and Gu also presented a broad overview, that particularly focused on engineering applications and recent progresses of stability and control of time delay systems [2]. A significant amount of research was devoted to designing time delay identification algorithms [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]. Most of the past research on time delay identification were usually presented for linear or linearized systems and review of the relevant past research highlights the fact that there are no time delay identification algorithms for general classes of nonlinear systems.…”