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In this paper, we will describe the cooperative output regulation problem for multi-agent systems. The formulation of this problem generalizes the leader-following consensus problem in the sense that the problem simultaneously addresses asymptotic tracking and disturbance rejection, accounts for model uncertainty, and accommodates a general leader system. Like the classical output regulation problem,...
Model predictive control (MPC), also called moving horizon control or receding horizon control, is one of the most successful and the most popular advanced control methods. The basis of MPC is the online solution of a constrained optimization problem updated by the actual state. The obtained control is injected into the system until the next sampling time, while the procedure is repeated whenever...
A novel model predictive control strategy is described for the treatment of diabetes. Clinical results are presented to demonstrate the effectiveness of the medically-inspired algorithms.
According to object oriented methodology, all of the controller object, sensor object and actor object are intelligent in a human body simulated control system. The above three intelligent control objects can co-operate with each other to keep the controlled system safety and reliability although one of them does not work. The above three intelligent objects consist of human body simulated controller,...
With the rapid development of the network, more and more new kinds of network traffic emerge in the network. These new traffic exhibit the properties of self-similarity and long-range dependence. Connection Admission Control (CAC) is one of the important mechanisms for guarantee the QoS while improving the utilization rate high-efficiently. At first, self-similar traffic service model based on CAC...
A new method of nonsingular terminal neural network sliding control based on backstepping for tracking control of multi-link robot manipulators is introduced in this paper. The proposed scheme combines the advantages of the adaptive control, neural network and sliding mode control strategies without precise system model information. It has on-line learning ability to deal with the parametric uncertainty...
Based on the approximation capability of radial basis neural networks and the integral-type Lyapunov function, adaptive dynamic surface control(DSC) is investigated for a class of strict-feedback nonlinear systems with unknown virtual control gain functions. The main advantages of the proposed scheme are that only one parameter is adjusted in the whole backstepping design by using Young's inequality...
In this paper, a novel method for finding a set of appropriative proportional-integral-derivative (PID) controller parameters in an electro-hydraulic servo control system is presented. In this method, a new genetic algorithm called complex system genetic algorithm (CSGA) is designed, which integrates complex system theory into genetic algorithm and redesigns genetic algorithm's (GA) elements such...
In this paper, the direct adaptive fuzzy robust control is applied to the attitude stabilization control of the satellite, and the detailed design procedure of the fuzzy control system is presented. The controller directly acting on the controlled system doesn't require the modeling of the uncertain nonlinear system. The direct adaptive fuzzy controller is designed for the satellite, and the robust...
With the development of the city, more and more license plate recognition systems are applied to the intelligent transportation management. License plate recognition is divided into three steps: license plate location, character segmentation and character recognition, therefore, the positioning of the license plate is an essential step in the process of license plate recognition. Meanwhile, in the...
Swarm intelligence inspired by the social behavior of ants boasts a number of attractive features, including adaptation, robustness, decentralized and self-organizing nature, which are well suited for routing in modern communication networks. This paper describes a new adaptive dynamic routing algorithm for packet-switched communications networks based on simple biological “ants” that explore the...
In this paper, the adaptive fuzzy sliding mode control is applied to the hypersonic vehicle. The detailed design procedure of the fuzzy sliding mode control system is presented. The adaptive fuzzy control is utilized to approach the uncertain functions of the hypersonic vehicle and the adaptive law is derived. According to the tracking errors, weighted parameters of the fuzzy system are adjusted on-line...
The designer's experience determines the parameters setting of Fuzzy controller, a new fuzzy control method based on the modified PSO algorithms is proposed in this paper. Besides, with this method, the application of the fuzzy controller in heat-setting machine is studied by simulation and good results have been obtained. A comparison with conventional PID control approaches widely used in the plant...
The shape-shifting robot is one of the kinds of the robot and it can change it's configuration according to the environment. A method is proposed to solve the shortcomings of the traditional method of robot's chain turning, which can shorten the time and radius of turning. The turning resistance moment can be also reduced. The mathematical model is built and the resistance torque and required force...
In this paper, we studied the flocking motion of multiple agents in mixed absolute/relative navigation condition with communication. The difference between navigation and communication in the role taken part in the neighbourhood relations was firstly pointed out. We gave a criterion which can judge whether a communication neighbourhood graph with mixed absolute/relative navigation devices is connected...
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