1. B K S Woods, M F Genter, C S Kothera, et al. Fatigue life testing of swaged pneumatic artificial muscles as actuators for aerospace applications. Journal of Intelligent Material Systems and Structures, 2012, 23(3):327-343.
2. Y Wei, Y H Chen, Y Yang, et al. Novel design and 3-D printing of nonassembly controllable pneumatic robots. IEEE/ASME Transactions on Mechatronics, 2016, 21(2):649-659.
3. J T Lei, H Y Yu, T M Wang. Dynamic bending of bionic flexible body driven by pneumatic artificial muscles (PAMs) for spinning gait of quadruped robot. Chinese Journal of Mechanical Engineering, 2016, 29(1):11-20.
4. J A Riofrio, C Woodrow, J Malliory. Modeling, simulation and experimental validation of a servo-pneumatic control system with off-the-shelf components. Proceedings of the ASME/BATH Symposium on Fluid Power and Motion Control, Chicago, USA, October 12-14, 2015:1-10.
5. D Y Meng, G L Tao, H Liu, et al. Adaptive robust motion trajectory tracking control of pneumatic cylinders with LuGre model-based friction compensation. Chinese Journal of Mechanical Engineering, 2014, 27(4):802-815.
6. H P Ren, J T Fan. Adaptive backstepping slide mode control of pneumatic position servo system. Chinese Journal of Mechanical Engineering, 2016, 29(5):1003-1009.
7. H K Lee, G S Choi, G H Choi. A study on tracking position control of pneumatic actuators. Mechatronics, 2002, 12(6):813-831.
8. T Noritsugu, M Takaiwa. Robust positioning control of pneumatic servo system with pressure control loop. Proceedings of 1995 IEEE International Conference on Robotics and Automation, Nagoya, Japan, May 21-27, 1995:2613-2618.
9. N Igo, K Hoshino. Control of offset pressure for pneumatic robots. IEEE/SICE International Symposium on System Integration, Kyoto, Japan, December 20-22, 2011:428-433.
10. J C Renn, C M Liao. A study on the speed control performance of a servo-pneumatic motor and the application to pneumatic tools. International Journal of Advanced Manufacturing Technology, 2004, 23(7-8):572-576.
11. B Taheri, D Case, E Richer. Force and stiffness backsteppingsliding mode controller for pneumatic cylinders. IEEE/ASME Transactions on Mechatronics, 2014, 19(6):1799-1809.
12. B Taheri, D Case, RICHER E. Investigation of energy efficiency in force control of pneumatic actuators. Proceedings of the ASME 8th Annual Dynamic Systems and Control Conference, Columbus, USA, October 28-30, 2015:1-8.
13. M Shiee, A K Sharifi, M Fathi, et al. Air pressure control via sliding mode approach using an on/off solenoid valve. 20th Iranian Conference on Electrical Engineering, Tehran, Iran, May 15-17, 2012:857-861.
14. B Lu, G L Tao, Z Xiang, et al. Modeling and control of the pneumatic constant pressure system for zero gravity simulation. 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Xian, China, July 2-5, 2008:688-693.
15. X S Wang, Y H Cheng, G Z Peng. Modeling and self-tuning pressure regulator design for pneumatic-pressure-load systems. Control Engineering Practice, 2007, 15(9):1161-1168.
16. X Li, J Tang. Intelligent coordinate control of pneumatic pressure signal generator of airplane engine inlet test system based on fuzzy neural network. International Conference on Measuring Technology and Mechatronics Automation, Zhangjiajie, China, April 11-12, 2009, 2:503-506.
17. J Y Li, B R Li, Z S Gao. Application of PC/104 embedded computer to air pressure control device. IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, Beijing, China, December 12-15, 2008:238-242.
18. J D Han, Z Q Zhu, Z Y Jiang, et al. Simple PID parameter tuning method based on outputs of the closed loop system. Chinese Journal of Mechanical Engineering, 2016, 29(3):465-474.
19. A Visioli. Tuning of PID controllers with fuzzy logic. IEE Proceeding:Control Theory and Applications, 2001, 148(1):1-8.
20. H X Li, H B Gatland. Conventional fuzzy control and its enhancement. IEEE Transactions on Systems, Man and Cybernetics, Part B:Cybernetics, 1996, 26(5):791-797.
21. B Dehghan, B W Surgenor. A comparison of intelligent PID position controllers with autotuners for a pneumatic system. Proceedings of the ASME 11th Biennial Conference on Engineering Systems Design and Analysis, Nantes, France, July 2-4, 2012:631-638.
22. J Waldie, B Surgenor, B Dehghan. Fuzzy PID and contour tracking as applied to position control of a pneumatic gantry robot. ASME/BATH 2013 Symposium on Fluid Power and Motion Control, Sarasota, USA, October 6-9, 2013:1-8.
23. Y Xue, G Z Peng, M Fan, et al. New asymmetric fuzzy PID control for pneumatic position control system. Journal of Beijing Institute of Technology (English Edition), 2004, 13(1):29-33.
24. M Cheng, Q Sun, E Zhou. New self-tuning fuzzy PI control of a novel doubly salient permanent-magnet motor drive. IEEE Transactions on Industrial Electronics, 2006, 53(3):814-821.
25. Z Fang, D Xu, M Tan. A vision-vased self-tuning fuzzy controller for fillet weld seam tracking. IEEE/ASME Transactions on Mechatronics, 2011, 16(3):540-550.
26. R K Mudi, N R Pal. A robust self-tuning scheme for PI-and PDtype fuzzy controllers. IEEE Transactions on Fuzzy System, 1999, 7(1):2-16.
27. H H Tian, J G Lu, Q M Ynag. A self-tuning fuzzy logic controller for superheat of evaporator by using electronic expansion valve. 6th International Symposium on Computational Intelligence and Design, Hangzhou, China, October 28-29, 2013:277-280.
28. D Simhachalam, R K Mudi. A self-tuning fuzzy PI controller for pure integrating processes. Proceedings of the International Conference on Frontiers of Intelligent Computing:Theory and Applications, Bhubaneswar, India, November 14-16, 2013:25-32.
29. P Beater. Pneumatic drives:system design, modelling and control. Berlin Heidelberg:Springer-Verlag, 2007.