This paper attempts to propose a single-input CMAC control system where the controller is implemented by a one-dimensional CMAC. The single-input CMAC control system adopts two learning stages. An off-line learning stage is to enable the output behavior of the CMAC to approximate the control surface of a fuzzy PD-type controller. An on-line learning stage is followed to make the proposed contro...

In this article, the issue of attitude control and active vibration suppression of a nonlinear flexible spacecraft is assessed through piezoelectric patches as actuator and sensors. Two controller loops are applied: the inner loop, to make the panel vibration damped through piezoelectric patches; and the outer loop, to perform spacecraft maneuver using the reaction wheel acting on the hub. An o...

This paper proposes a novel method to designing an H ∞ PID controller with robust stability and disturbance attenuation. This method uses particle swarm optimization algorithm to minimize a cost function subject to H ∞ -norm to design robust performance PID controller. We propose two cost functions to design of a multiple-input, multiple-output (MIMO) and single-input, single-output (SISO) robu...

-The simulation of a nonlinear controller with power sharing control capabilities for a wind energy system double input buck boost–buck boost converter is presented. A multiple-input DC–DC converter is useful to obtain the regulated output voltage from input power source such as a wind array. Double input DC-DC buck boost converter principle of operation and the equations describing the convert...

Only limited information is usually available about the properties (e.g., permeability) of oil reservoirs, which are usually heterogeneous with high variability levels and complex spatial correlation structures. Incomplete knowledge about these heterogeneous natural systems leads to uncertainty in the reservoir description model (i.e., permeability distribution). The uncertainty in the reservoi...

In this paper we present a soft computing system developed to optimize the face milling operation under High Speed conditions in the manufacture of steel components like molds with deep cavities. This applied research presents a multidisciplinary study based on the application of neural projection models in conjunction with identification systems, in order to find the optimal operating conditio...

Massively parallel computers are increasingly being used to solve large, I/O intensive applications in many diierent elds. For such applications, the I/O subsystem represents a signiicant obstacle in the way of achieving good performance. While massively parallel architectures do, in general, provide parallel I/O hardware, this alone is not suucient to guarantee good performance. The problem is...

We describe the Timed Input/Output Automata (TIOA) framework, a general mathematical framework for modeling and analyzing real-time systems. It is based on timed I/O automata, which engage in both discrete transitions and continuous trajectories. The framework includes a notion of external behavior, and notions of composition and abstraction. We define safety and liveness properties for timed I...

Laser milling is a relatively new micromanufacturing technique in the production of copper and other metallic components. This study presents multidisciplinary research, which is based on unsupervised connectionist architectures in conjunction with modelling systems, on the determination of the optimal operating conditions in this industrial process. Sensors on a laser milling centre relay the ...