A simple and easy-to-implement method that guarantees the effective active synchronization of a chaotic gyroscopic system within a specified settling time limit is presented. A closed-form expression is given for the determination of the appropriate synchronizing control signal. The method is successfully validated through simulations for various initial conditions of the gyroscopic system.

High precision position control and high speed control of the robot manipulators are fundamental and important control problems. The effectiveness of finite-time P-PI control was confirmed by end-effector position control of robot manipulators. However, parameter tuning method has not been proposed to finite-time P-PI control. In this paper, we propose a settling time design method and a parame...

The work presented here addresses the issue of tuning PD controllers for controlling integrating plus deadtime (IPDT) processes using settling time and gain and phase margin specifications. Tuning formulae are derived for PD controller being used for controlling IPDT processes. Simulations have been carried out to determine the effectiveness of the tuning formulae. Also, comparison between prop...

To each computable enumerable (c.e.) set A with a particular enumeration {As}s∈ω, there is associated a settling function mA(x), where mA(x) is the last stage when a number less than or equal to x was enumerated into A. In [7], R.W. Robinson classified the complexity of c.e. sets into two groups of complexity based on whether or not the settling function was dominant. An extension of this idea ...

We analyze a stable GI/G/1 queue that starts operating at time t = 0 with No 0 customers. First, we analyze the time TvN required for this queue to empty for the first time. Under the assumption that both the interarrival and the service time distributions are of the exponential type, we prove that limN0 .. TTN 0/No . J( ), where A and p are the arrival and the service rates. Furthermore, assum...

This paper deals with a discrete selfadjusting filter forming a convenient control signal from a given command signal in order to achieve the desired state of the con­ trolled variable in a finite time period. The problem consists in modelling the gradient of the modified mean square error in a transfer function form. Because of the open-loop control used in our case, the plant transfer functio...

The settling time of cellular neural networks (CNNs) is crucial for both simulation and applications of VLSI CNN chips. The computational effort for the numerical integration may be drastically reduced, and CNN programs can be optimized, if a priori knowledge on the settling time is available. Moreover, this allows the parameters necessary to achieve higher processing speed to be tuned. For cer...