We study the effect of accumulative payoff on the evolution of cooperation in the evolutionary prisoner＇s dilemma on a square lattice. We introduce a decaying factor for the accumulative payoff, which characterizes t...
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We study the effect of accumulative payoff on the evolution of cooperation in the evolutionary prisoner＇s dilemma on a square lattice. We introduce a decaying factor for the accumulative payoff, which characterizes the extent that the historical payoff is accumulated. It is shown that for fixed values of the temptation to defect, the density of cooperators increases with the value of the decaying factor. This indicates that the more the historical payoff is involved, the more favourable cooperators become. In the critical region where the cooperator density converges to zero, cooperators vanish according to a power-law-like behaviour. The associated exponents agree approximately with the two-dimensional directed percolation and depend weakly on the value of the decaying factor.
This paper addresses a class of general nonsmooth and nonconvex composite optimization problems subject to nonlinear equality constraints. We assume that a part of the objective function and the functional constraints...
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This paper investigates a control strategy which uses an identified reference model to produce appropriate chaotic and nonchaotic reference trajectories. Although it is possible to dispense with the reference model in...
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This paper investigates a control strategy which uses an identified reference model to produce appropriate chaotic and nonchaotic reference trajectories. Although it is possible to dispense with the reference model in many applications, it is often desirable to obtain a model of the system in order to guarantee that the reference signal is a genuine trajectory of the system to be controlled and to reduce the effects of transients and the control effort. The influence of measurement noise and the relation between the control effort and the dynamics of the uncontrolled system are also discussed. Examples which use the Duffing-Ueda system and a discrete reference model identified from input/output records with no a priori information, are included to illustrate the main points of the paper.
This paper presents an investigation into the performance evaluation issues involved in real-time parallel signal processing and control. Issues such as algorithm partitioning, mapping, interprocessor communication, g...
This paper presents an investigation into the performance evaluation issues involved in real-time parallel signal processing and control. Issues such as algorithm partitioning, mapping, interprocessor communication, granularity, regularity, compiler efficiency for numerical computation, and code optimization with several signal processing and control algorithms are investigated and presented. Several algorithms are considered and implemented on a number of uniprocessor and multiprocessor, homogeneous and heterogeneous, parallel architectures, A comparative performance evaluation of the architectures is made, demonstrating the critical problems encountered in real-time parallel signal processing and control. (C) 1997 Academic Press.
In designing controllers for complex dynamical systems there are needs that are not sufficiently addressed by conventional control theory. These relate mainly to the problem of environmental uncertainty and often call...
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In designing controllers for complex dynamical systems there are needs that are not sufficiently addressed by conventional control theory. These relate mainly to the problem of environmental uncertainty and often call for human-like decision making requiring the use of heuristic reasoning and learning experience. Learning is required complexity of a problem or the uncertainty thereof prevents a priori specification of a satisfactory solution. Such solutious are then only possible through accumulating information about the problem and using this information to dynamically generate an acceptable solution. Such systems can be referred to as intelligent controlsystems. In recent years, 'intelligent control' has come to embrace diverse methodologies combining conventional control theory and emergent techniques based on physiological metaphors, such as neural networks, fuzzy logic, artificial intelligence, genetic algorithms and a wide variety of search and optimisation techniques. The paper reviews aspects of these emergent techniques, in particular, fuzzy logic, neural networks and genetic algorithms that pertain to realisation of intelligent controlsystems. The fundamental concepts and design techniques of each paradigm are discussed, providing a compact reference for their application.
An algorithm for closed-loop model matching is introduced. The obtained closed loop is shown to match a prespecified set of Pade coefficients and Markov parameters. The algorithm can be used in the design of reduced o...
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An algorithm for closed-loop model matching is introduced. The obtained closed loop is shown to match a prespecified set of Pade coefficients and Markov parameters. The algorithm can be used in the design of reduced order controllers and is proved to be very flexible and effective for this purpose. An example is provided.
A novel procedure for PID tuning is proposed. Given the plant transfer function, the design is carried out by specifying a reference model and obtaining the settings of a tracking PID such that the controlled system m...
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A novel procedure for PID tuning is proposed. Given the plant transfer function, the design is carried out by specifying a reference model and obtaining the settings of a tracking PID such that the controlled system matches the reference model.
An algorithm for open-loop model matching is introduced. The designed open-loop transfer function is shown to match a prespecified set of Pade coefficients and Markov parameters. The algorithm can be used in the desig...
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An algorithm for open-loop model matching is introduced. The designed open-loop transfer function is shown to match a prespecified set of Pade coefficients and Markov parameters. The algorithm can be used in the design of robust controllers.
It is suggested that the problem of controller design can be easily and conveniently stated as one of model simplification and therefore be solved using standard order-reduction methods.
It is suggested that the problem of controller design can be easily and conveniently stated as one of model simplification and therefore be solved using standard order-reduction methods.
Antipsychotics and antidepressants are essential psychotropic medications used for treating various mental health conditions such as depression, schizophrenia, and bipolar disorder. However, when exposed to light, the...
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