accurate and correct performance of controller in cruise control systems is important. hence, in such systems, controller should optimize itself against noise and probable changes in system dynamic. as a matter of fact, in this article three approaches have been conducted to-ward this purpose: mit, direct estimation and indirect estimation. these approaches are used as controllers to track refe...

This paper proposes a novel intelligent control scheme using type-2 fuzzy neural network type-2 FNN system. The control scheme is developed using a type-2 FNN controller and an adaptive compensator. The type-2 FNN combines the type-2 fuzzy logic system FLS , neural network, and its learning algorithm using the optimal learning algorithm. The properties of type-1 FNN system parallel computation ...

In this paper, a new intelligent control approach for high-speed quadruped bounding and galloping gaits is presented. The controller is capable of learning the leg touchdown angles and leg thrusts required to track the desired running height and velocity of a quadruped in only one stride. Training of the controller is accomplished not with a mathematical model, but with simple rules based on a ...

We describe preliminary research on intelligent pedagogical agents designed to maximize students’ learning from educational games, while maintaining the high level of positive emotional engagement that games usually trigger. The agents’ behavior is based on a decision theoretic model, dictating that agents act so as to maximize the expected utility of their actions. In our framework, a pedagogi...

Hongbo Lan, Chengrui Zhang, Riliang Liu School of Mechanical Engineering, Shandong University, Jinan, 250061, China School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, 710049, China Abstract This paper presents a conceptual framework of STEP-NP controller to implement intelligent control for CNC machine tool. This framework is developed based on the concept of multi-agent system...

The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-based approach, where the agent controller is given by the programmer, the learning-based approach, where the controller is induced from experience via a learning algorithm, and themodel-based approach, where the contro...

Modeling learners’ emotional states is a promising tool for enhancing learning outcomes and tutoring abilities. In this paper, we present a new perspective of learner emotional modeling according to two fundamental dimensions, namely mental workload and engagement. We hypothesize that analyzing results from learners’ workload and engagement evolution can help Intelligent Tutoring Systems diagno...

Learner performances depend on the external conditions or circumstances that exist when learning occurs. Recent researches have shown that emotions play a powerful role in cognitive processes. In traditional learning environments, the teacher attempts to ensure the best conditions for learning and especially the emotional conditions. For instance, he introduces a joke in the classroom, in order...