2016
DOI: 10.1007/s11071-016-3271-6
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Complex dynamics and control of a dynamic R&D Bertrand triopoly game model with bounded rational rule

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Cited by 25 publications
(16 citation statements)
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“…It can be observed from Figure 7(a) that there is only one route for system (33) which leads to the Nash equilibrium from chaotic, that is, inverse flip bifurcation. e control parameters μ 1 and μ 2 successively pass through the dark black area, yellow area, green area, and eventually enter into brown area, which implies that system (33) changes from chaotic to period-4, period-2, and other period-halving and finally reaches the Nash equilibrium. Figure 7(b) is a diagram of the largest Lyapunov exponent corresponding to Figure 7(a), where the color bar in the right of this figure represents the largest Lyapunov exponent.…”
Section: E Control Of Chaosmentioning
confidence: 99%
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“…It can be observed from Figure 7(a) that there is only one route for system (33) which leads to the Nash equilibrium from chaotic, that is, inverse flip bifurcation. e control parameters μ 1 and μ 2 successively pass through the dark black area, yellow area, green area, and eventually enter into brown area, which implies that system (33) changes from chaotic to period-4, period-2, and other period-halving and finally reaches the Nash equilibrium. Figure 7(b) is a diagram of the largest Lyapunov exponent corresponding to Figure 7(a), where the color bar in the right of this figure represents the largest Lyapunov exponent.…”
Section: E Control Of Chaosmentioning
confidence: 99%
“…And with regards to the corresponding largest Lyapunov exponent, when the value of μ 2 meets 0.168 < μ 2 < 0.232, then Lyp > 0. e corresponding largest Lyapunov exponent is less than zero when μ 2 > 0.232. When the corresponding largest Lyapunov exponent is equal to zero, then system (33) takes place a bifurcation. Another case is that the control factor μ 1 increases to 0.65.…”
Section: E Control Of Chaosmentioning
confidence: 99%
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“…Xin and Chen [35] investigate a master-slave Bertrand game model, which was proposed for upstream and downstream monopolies owned by different parties with bounded rationality. Tu and Wang [36] explore the complex dynamics of an R&D two-stage input competition triopoly game model with bounded rational expectations. Elsadany [37] analyzes the complex dynamics on a triopoly game with bounded rationality and radical form inverse demand function.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Researchers have adopted a variety of adjustment mechanisms, including horizontal product differentiation [31], a gradient adjustment mechanism [32], among others. Tu and Wang [33] proposed a dynamic competition triopoly game considering two-stage R&D input.…”
Section: Introductionmentioning
confidence: 99%