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We consider a relay-assisted wireless communication system where relays are given the capability of scheduling function. We evaluate and compare the performances of voice over internet protocol (VoIP) in orthogonal frequency division multiple access (OFDMA) systems where two different scheduling capabilities of relays are employed in each system. In the system with relays that have the scheduling...
Least square method is widely applied in the field of self-adaptation control for it has well statistical property, such as consistency and unbiasedness. So we can improve the control effect of second-order system by using least square method in self-adaptive PID control. In this paper a self-adaptive PID controller of second-order system is discussed. The model of this system is established and simulated...
In view of Chaos is such a complex nonlinear systems, we analyze the parameters of initial sensitivity and unpredictability, and use a universal adaptive controller based on adaptive control theory, combined with the stability of Lyaponov theory, making the system to eliminate chaos and asymptotic stability to the desired smooth orbit. Matlab simulation results have verified the efficiency of this...
The temperature control system has the characteristic of non-linearity, large inertia and time variability. It is difficulty to overcome the effects of these factors and get the satisfactory results with using the normal PID controller. Therefore, a self-adaptive PID controller based on fuzzy is adopted in this paper. By the means of adjusting the adjustable factors on line, it can optimize the control...
In this paper, we focus on the cross layer design of AODV (ad hoc on demand distance vector) routing protocol is implemented in Spatial-TDMA wireless networks. The routing discovery and routing maintenance strategies of AODV are simplified through the neighbor list kept by the Spatial-TDMA protocol. We select a Spatial-TDMA protocol called USAP (unified slot assignment protocol) and make some modifications...
Computer simulation of the road traffic is a very important tool for analysis and control of traffic networks. Because the simulation of a large traffic network (e.g. an entire city) can be computationally intensive, many simulators have been adapted for distributed computing environment. In this paper, an efficient communication protocol for distributed simulation of road traffic is described. The...
The paper presents model predictive control solutions for a servosystem consisting of an electromagnetic actuator. Two solutions are proposed in this paper on the basis of one-step-ahead and multi-step-ahead quadratic objective functions. The simulation results support the development of solutions and offer conclusions concerning the advantages of the solutions.
According to Aebli's operative method (1963) and Bruner's (1974) theory of representation the development of the process of thinking in teaching has the following phases - levels of abstraction: manipulation with specific things (specific phase), iconic representation (figural phase), symbolic representation (symbolic phase). Modern information technology has contributed to the enrichment of teaching...
New driver assistance systems can have consequential effects on traffic flow. Investigative simulations are necessary for the design, optimization and evaluation of these assistance systems. Previous calibration and validation methods utilized either microscopic or macroscopic measurement data.This paper's purpose is to argue that the formerly held calibration and validation perspectives with regard...
The multi-stage influence diagram theory and the game theory are introduced to maneuvering decisions in the multi-fighter cooperative air combat. A multi-stage influence diagram game model for n-stages decision is presented, and the decision is sequential and maneuvering. Firstly, principles that the multi-fighter cooperative air combat is divided into the air combat of several small teams are determined,...
The modern sea combat is a typical complex adaptive system (CAS), involving a large number of subjective and qualitative factors, which is difficult to explore for many traditional methods. This paper adopts artificial life to establish a simulation system of modern anti-surface warfare of warship fleet to research the impact of the important subjective and qualitative factors on the warfare result...
This paper investigates intelligent PID flight control approaches for a small Unmanned Aerial Vehicle (UAV) pitch attitude. These methods are based on the longitudinal motion models of the small UAV. These intelligent PID controllers, including integral separated PID controller and adaptive proportion PID controller are designed and simulated for UAV's pitch attitude control. In order to illuminate...
Hybrid algorithm is the hot issue in Computational Intelligence (CI) study. From in-depth discussion on Simulation Mechanism Based (SMB) classification method and composite patterns, this paper presents the Mamdani model based Adaptive Neural Fuzzy Inference System (M-ANFIS) and weight updating formula in consideration with qualitative representation of inference consequent parts in fuzzy neural networks...
The flexible AC transmission system performance will be impacted directly by the controllers, therefore, the investigate in FACTS technology has been focus on the control system. With the characteristics and principles of the TCSC operation, this paper deals with the control of TCSC and a kind of fuzzy adaptive PID controller based on BP neural network is presented, which solved the problem in the...
Vehicles are not always driven on smooth roads. If parts of the suspension system fail, it becomes an uncertain system. Thus we need an approximator to remodel this uncertain system to maintain good control. In this paper, we propose a new method to on-line identify the uncertain suspension system and design a T-S fuzzy-neural controller to control it. We first use the mean value theorem to transform...
This paper proposes a novel sliding mode reference adaptive system(SM MRAS) observer for speed identification in a sensorless direct torque control induction motor system. The SM MRAS method uses the voltage model (VM) as reference and the current model (CM) as adjustable model to estimate the motor speed by combining MRAS with sliding mode variable-structure control to formulate a slide mode surface...
In this paper, a new dynamic neural network based on the Hopfield neural network is proposed to perform the nonlinear system identification. Convergent analysis is performed by the Lyapunov-like criterion to guarantee the error convergence during identification. Simulation results demonstrate that the proposed dynamic neural network trained by the Lyapunov approach can obtain good identified performance.
This paper focuses on a critical component of the situational awareness (SA), the neural control of depth flight of an autonomous underwater vehicle (AUV). Constant depth flight is a challenging but important task for AUVs to achieve high level of autonomy under adverse conditions. The fundamental requirement for constant depth flight is the knowledge of the depth, and a properly designed controller...
Electric motors play an important role in industry as well as our day-to-day life. They are used to generate electrical power in power plants and provide mechanical work in industries. They are also an indispensable part of our daily lives. Electric motors are very important pieces of equipment in our everyday lives. The brushed dc motor is considered to be basic electric motors.
Particle swarm optimization (PSO) is a new swarm intelligent optimization technique. Although it maintains a fast convergent speed, it is still easy trapped into a local optimum when dealing with high-dimensional numerical problems. To overcome this shortcoming, in this paper, a new variant of PSO is designed hybrid with a dynamic population strategy and crossover operator. Simulation results show...
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