Search Results - "Yi, Jianqiang"

A Class of Adaptive Extended State Observers for Nonlinear Disturbed Systems by Pu, Zhiqiang, Yuan, Ruyi, Yi, Jianqiang, Tan, Xiangmin

“…This paper proposes a novel class of adaptive extended state observers (AESOs) that significantly expand the applications of extended state observers (ESOs) to…”
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Building Energy Consumption Prediction: An Extreme Deep Learning Approach by Li, Chengdong, Ding, Zixiang, Zhao, Dongbin, Yi, Jianqiang, Zhang, Guiqing

“…[...]the artificial intelligence methods can obtain more accurate prediction results in most real-world applications and have been widely applied to the…”
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Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach by Tao, Xinlong, Yi, Jianqiang, Pu, Zhiqiang, Xiong, Tianyi

“…This paper presents a novel robust adaptive tracking control method for a hypersonic vehicle in a cruise flight stage based on interval type-2 fuzzy-logic…”
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Trajectory Tracking Control of Omnidirectional Wheeled Mobile Manipulators: Robust Neural Network-Based Sliding Mode Approach by Xu, Dong, Zhao, Dongbin, Yi, Jianqiang, Tan, Xiangmin

“…This paper addresses the robust trajectory tracking problem for a redundantly actuated omnidirectional mobile manipulator in the presence of uncertainties and…”
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Adaptive Inverse Control of Cable-Driven Parallel System Based on Type-2 Fuzzy Logic Systems by Wang, Tiechao, Tong, Shaocheng, Yi, Jianqiang, Li, Hongyi

“…This paper is concerned with the problem of type-2 fuzzy adaptive inverse control for a cable-driven parallel system. Based on the heuristics and prior…”
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Deep Belief Network Based Hybrid Model for Building Energy Consumption Prediction by Li, Chengdong, Ding, Zixiang, Yi, Jianqiang, Lv, Yisheng, Zhang, Guiqing

“…To enhance the prediction performance for building energy consumption, this paper presents a modified deep belief network (DBN) based hybrid model. The…”
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Hedonic Coalition Formation for Distributed Task Allocation in Heterogeneous Multi-agent System by Wang, Lexing, Qiu, Tenghai, Pu, Zhiqiang, Yi, Jianqiang, Zhu, Jinying, Yuan, Wanmai

“…Due to the complexity of tasks in the real world, multiple agents with different capabilities tend to cooperate to handle diverse requirements of these tasks…”
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Robot Subgoal-guided Navigation in Dynamic Crowded Environments with Hierarchical Deep Reinforcement Learning by Zhang, Tianle, Liu, Zhen, Pu, Zhiqiang, Yi, Jianqiang, Liang, Yanyan, Zhang, Du

“…Although deep reinforcement learning has recently achieved some successes in robot navigation, there are still unsolved problems. Particularly, a robot guided…”
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Motion and Internal Force Control for Omnidirectional Wheeled Mobile Robots by Dongbin Zhao, Dongbin Zhao, Xuyue Deng, Xuyue Deng, Jianqiang Yi, Jianqiang Yi

“…This paper presents an integrated scheme for motion control and internal force control for a redundantly actuated omnidirectional wheeled mobile robot. The…”
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Immersion and Invariance-Based Output Feedback Control of Air-Breathing Hypersonic Vehicles by Liu, Zhen, Tan, Xiangmin, Yuan, Ruyi, Fan, Guoliang, Yi, Jianqiang

“…A new output feedback control design for robust velocity and altitude tracking of an air-breathing hypersonic vehicle (AHSV) is presented in this paper. The…”
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BP neural network prediction-based variable-period sampling approach for networked control systems by Yi, Jianqiang, Wang, Qian, Zhao, Dongbin, Wen, John T.

“…The biggest problem that networked control systems face is the random time-varying delay, which often causes system instability and even collapse. Aiming at…”
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Robust adaptive neural network control for a class of uncertain nonlinear systems with actuator amplitude and rate saturations by Yuan, Ruyi, Tan, Xiangmin, Fan, Guoliang, Yi, Jianqiang

“…An adaptive controller which is designed with a priori consideration of actuator saturation effects and guarantees H∞ tracking performance for a class of…”
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Multiagent Hierarchical Cognition Difference Policy for Multiagent Cooperation by Wang, Huimu, Liu, Zhen, Yi, Jianqiang, Pu, Zhiqiang

“…Multiagent cooperation is one of the most attractive research fields in multiagent systems. There are many attempts made by researchers in this field to…”
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A hybrid learning method for the data-driven design of linguistic dynamic systems by Li, Chengdong, Yi, Jianqiang, Lv, Yisheng, Duan, Peiyong

“…In lots of data based prediction or modeling applications, uncertainties and&#x002F or noises in the observed data cannot be avoided. In such cases, it is more…”
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Robust fuzzy tracking control for flexible air-breathing hypersonic vehicles with measurement noises by Liu, Yifan, Sun, Jinlin, Pu, Zhiqiang, Yi, Jianqiang, Pu, Shiliang

“…Measurement noise is an obstacle to the performance improvement of a flexible air-breathing hypersonic vehicle. This paper explores a robust fuzzy tracking…”
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Adaptive sliding mode fuzzy control for a two-dimensional overhead crane by Liu, Diantong, Yi, Jianqiang, Zhao, Dongbin, Wang, Wei

“…An adaptive sliding mode fuzzy control approach is proposed for a two-dimensional overhead crane. System linearization transforms the two-dimensional system to…”
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Autonomous takeoff control system design for unmanned seaplanes by Du, Huan, Fan, Guoliang, Yi, Jianqiang

“…Unmanned seaplanes are special kinds of fixed-wing airplanes which can achieve autonomous takeoff and landing on water. Due to complicated hydrodynamic forces…”
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Control of a flexible air-breathing hypersonic vehicle with measurement noises using adaptive interval type-2 fuzzy logic system by Xinlong Tao, Jianqiang Yi, Ruyi Yuan, Zhen Liu

“…In this paper, a novel control scheme for the flexible air-breathing hypersonic vehicle (FAHV) using adaptive interval type-2 fuzzy logic system (AIT2-FLS) is…”
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A computed torque controller for uncertain robotic manipulator systems: Fuzzy approach by Song, Zuoshi, Yi, Jianqiang, Zhao, Dongbin, Li, Xinchun

“…Computed Torque Control (CTC) is an effective motion control strategy for robotic manipulator systems, which can ensure globally asymptotic stability. However,…”
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Pruned Fast Learning Fuzzy Approach for Data-Driven Traffic Flow Prediction by Li, Chengdong, Lv, Yisheng, Yi, Jianqiang, Zhang, Guiqing

“…Traffic flow prediction plays an important role in intelligent transportation systems. With the rapid growth of traffic flow data, fast and accurate traffic…”
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