Linlin Wu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Linlin Wu has a total of 19 co-authors. Here are the top co-authors by number of shared publications:
- Ruiying Zhao
National Engineering Laboratory for Highway Maintenance Equipment, Chang’an University, Xi’an, People’s Republic of China
3 shared publications - Jizhuang Hui
Institute of Smart Manufacturing Systems, Chang’an University, Xi’an, China
2 shared publications - Changxia Liu
College of Transportation, Ludong University, Yantai, Shandong, 264025, PR China
1 shared publication - Dazhuo Qiu
Lyon 1 University, CNRS Liris, Lyon, France
1 shared publication - Fuqiang Zhang
Key Laboratory of Road Construction Technology and Equipment of MOE, Chang’an University, Xi’an 710064, China
1 shared publication - Gangfeng Wang
Key Laboratory of Road Construction Technology and Equipment of MOE, School of Construction Machinery, Chang’an University, Xi’an 710064, China
1 shared publication
Latest Publications
- 18 August 2025
- Published by Elsevier in Analytica Chimica Acta
- Vol. 1374, 344549
An MA-film platform designed for high-throughput synthesis of calcium phosphates screening amino acid on collagen film
- 18 August 2025
- Published by Elsevier in Analytica Chimica Acta
- Vol. 1374, 344549
An MA-film platform designed for high-throughput synthesis of calcium phosphates screening amino acid on collagen film
- 8 March 2023
- Published by Springer Nature in International Journal of Fuzzy Systems
- Vol. 25 (5) , 1975-1990
Optimization of Robust Control for the Uncertain Delta-Type Parallel Manipulator with Active Constraints: A Fuzzy-Set Theory-Based Approach
- 8 March 2023
- Published by Springer Nature in International Journal of Fuzzy Systems
- Vol. 25 (5) , 1975-1990
Optimization of Robust Control for the Uncertain Delta-Type Parallel Manipulator with Active Constraints: A Fuzzy-Set Theory-Based Approach
- 22 October 2022
- Published by Elsevier in ISA Transactions
- Vol. 135, 325-338
Formation tracking control design for uncertain artificial swarm systems under inequality constraints: Leakage and dead-zone type
- 22 October 2022
- Published by Elsevier in ISA Transactions
- Vol. 135, 325-338
Formation tracking control design for uncertain artificial swarm systems under inequality constraints: Leakage and dead-zone type
- Open Access
- 18 May 2020
- Published by MDPI AG in Applied Sciences
- Vol. 10 (10) , 3472
Optimal Design of Adaptive Robust Control for the Delta Robot with Uncertainty: Fuzzy Set-Based Approach
An optimal control design for the uncertain Delta robot is proposed in the paper. The uncertain factors of the Delta robot include the unknown dynamic parameters, the residual vibration disturbances and the nonlinear joints friction, which are (possibly fast) time-varying and bounded. A fuzzy set theoretic approach is creatively used to describe the system uncertainty. With the fuzzily depicted uncertainty, an adaptive robust control, based on the fuzzy dynamic model, is established. It designs an adaptation mechanism, consisting of the leakage term and the dead-zone, to estimate the uncertainty information. An optimal design is constructed for the Delta robot and solved by minimizing a fuzzy set-based performance index. Unlike the traditional fuzzy control methods (if-then rules-based), the proposed control scheme is deterministic and fuzzily optimized. It is proven that the global solution in the closed form for this optimal design always exists and is unique. This research provides the Delta parallel robot a novel optimal control to guarantee the system performance regardless of the uncertainty. The effectiveness of the proposed control is illustrated by a series of simulation experiments. The results reveal that the further applications in other robots are feasible.
- 18 May 2020
- Published by MDPI AG in Applied Sciences
- Vol. 10 (10) , 3472
Open AccessOptimal Design of Adaptive Robust Control for the Delta Robot with Uncertainty: Fuzzy Set-Based Approach
An optimal control design for the uncertain Delta robot is proposed in the paper. The uncertain factors of the Delta robot include the unknown dynamic parameters, the residual vibration disturbances and the nonlinear joints friction, which are (possibly fast) time-varying and bounded. A fuzzy set theoretic approach is creatively used to describe the system uncertainty. With the fuzzily depicted uncertainty, an adaptive robust control, based on the fuzzy dynamic model, is established. It designs an adaptation mechanism, consisting of the leakage term and the dead-zone, to estimate the uncertainty information. An optimal design is constructed for the Delta robot and solved by minimizing a fuzzy set-based performance index. Unlike the traditional fuzzy control methods (if-then rules-based), the proposed control scheme is deterministic and fuzzily optimized. It is proven that the global solution in the closed form for this optimal design always exists and is unique. This research provides the Delta parallel robot a novel optimal control to guarantee the system performance regardless of the uncertainty. The effectiveness of the proposed control is illustrated by a series of simulation experiments. The results reveal that the further applications in other robots are feasible.
- 1 October 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 435-439
Control and simulation of speed sensing for an EFI engine
In order to stabilize the engine speed, increase the dynamic performance, save the energy, this paper presents a speed sensing control method for an EFI engine. The best operating points of an engine were discussed according to the static characteristics of an engine. Based on the best operating points and the load, the engine speed could be controlled by a double-closed loop control method, which could obtain the feedback signal from the engine speed and the throttle position. The model of a 161kW diesel engine and the control method were built, and the simulation was calculated based on the best working conditions. The results showed that the method could maintain the actual speed of an engine close to the goal speed, and achieve the requirements of the maximum torque, maximum power and the most economical output using the best operation points.
- 1 October 2017
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 435-439
Control and simulation of speed sensing for an EFI engine
In order to stabilize the engine speed, increase the dynamic performance, save the energy, this paper presents a speed sensing control method for an EFI engine. The best operating points of an engine were discussed according to the static characteristics of an engine. Based on the best operating points and the load, the engine speed could be controlled by a double-closed loop control method, which could obtain the feedback signal from the engine speed and the throttle position. The model of a 161kW diesel engine and the control method were built, and the simulation was calculated based on the best working conditions. The results showed that the method could maintain the actual speed of an engine close to the goal speed, and achieve the requirements of the maximum torque, maximum power and the most economical output using the best operation points.