.... Motion controls Nonlinear systems Robotics Uncertain systems Control Robust control Most of the proposed past research on control of robot manipulators focused on improving joint space tracking performance, despite the fact that it is the end effector of the robot actually performing...

...: Hashem Ashrafiuon. 10 09 2017 20 06 2018 Control theory Nonlinear systems Uncertain systems Control Robust control In recent years, research on controller design for uncertain nonlinear systems has been significantly performed and advanced. There exist two different...

... of the last decade. Advanced control approaches are based on knowledge (models resp.) about the system to be controlled, realized by mathematical models (e.g., sets of differential equations). Control theory Nonlinear systems Uncertain systems Control Robust control 01 02 2017 21 06...

... – 437 . 10.1109/9.661616 [33] Zhou , J. , and Wen , C. , 2008 , Adaptive Backstepping Control of Uncertain Systems: Nonsmooth Nonlinearities, Interactions or Time-Variations , Springer , New York. [34] Swaroop , D. , Hedrick , J. K. , Yip , P. P. , and Gerdes , J. C...

... Structure Control Systems ,” IEEE Trans. Ind. Electron. , 42 ( 2 ), pp. 117 – 122 . 10.1109/41.370376 [19] Xiao , L. , and Zhu , Y. , 2011 , “ Higher Order Sliding Mode Prediction Based Discrete-Time Variable Structure Control for Nonlinear Uncertain Systems ,” International Conference...

... of the proposed EID-based repetitive controller over the conventional repetitive controller. Fig. 4 State responses for uncertain system in the presence of disturbance with EID: ( a ) tracking performance of closed-loop system with EID (9) and ( b ) error For simulation purpose, the periodic...

... time control System identification Uncertain systems Robust control Starting from the early 1960s, the most prominent trend in engineering for the search of more efficient, powerful, and cheaper devices is the miniaturization [ 1 ]. Thus, manufacturing of microdevices had become one...

... of the proposed method for roll autopilot is verified via numerical simulations. Aerospace systems Nonlinear systems Uncertain systems Control Robust control However, coefficient C l a at high angle of attacks has large values [ 4 ] so even small ϕ 's causes significant...

... systems Uncertain systems Vibration control Optimal control Dynamic systems Control Robust control The flexible dynamics of cranes are critical issue because a suspended payload can exhibit excessive swing that could result in collisions and accidents [ 1 – 3 ]. The problem is further...

... Control theory Modeling and simulation Motion controls Nonlinear systems System identification Uncertain systems Dynamic systems Control Robust control Differentiation is an old problem in signal analysis and processing as well as in control applications. In the recent years, several...

...) of a variety of electro-optical sensors mounted on motion platforms such as aircraft, ships, and satellites. ISPs have an important significance in military and civilian applications [ 1 ]. Adaptive Modeling and simulation Nonlinear systems Uncertain systems Optimal control Dynamic systems...

... . Manuscript received May 16, 2017; final manuscript received February 28, 2018; published online April 30, 2018. Assoc. Editor: Mazen Farhood. 16 05 2017 28 02 2018 Magnetic levitation Mechatronics Modeling and simulation Real time control System identification Uncertain systems...

... Uncertain systems Dynamic systems Control Robust control There are many types of autonomous ground vehicle (AGV), e.g., differential AGV, car-like AGV, omni-direction AGV, and four wheel independent AGV [ 1 – 4 ]. Each type has different kinematics, which affects motion control, path planning...

... received February 6, 2018; published online March 30, 2018. Assoc. Editor: Dumitru I. Caruntu. 09 06 2017 06 02 2018 Adaptive Nonlinear systems Transportation Uncertain systems Optimal control Control Robust control Bio-medical systems Neuromuscular electrical...

... of delay is also accommodated. The term F ( x , t , t d , d , u ) deviates states of uncertain system from states of nominal plant model. Larger values of delay will result in larger uncertainty. This needs larger value of switching gain K sw , to satisfy stability condition in Eq. (15...

... received December 21, 2017; published online March 28, 2018. Assoc. Editor: Yunjun Xu. 03 02 2017 21 12 2017 Mechatronics Motion controls Robotics Uncertain systems Robust control Synchronization systems have attracted attention since the last decade, motivated...

... Control theory Mechatronics Sensors and actuators Uncertain systems Vehicular dynamics Robust control The controller output observer (COO) framework is used for estimating system inputs and states that characterizes a physical system, as seen in Fig. 1 , through the use of other measurable...

... , “ Reliable Dissipative Sampled-Data Control for Uncertain Systems With Nonlinear Fault Input ,” ASME J. Comput. Nonlin. Dyn. , 11 ( 4 ), p. 041008. 10.1115/1.4031980 Table 4 Comparison of minimum γ Methods γ min Theorem 3.3 0.5297 Theorem 2 of Ref. [ 18...

... . Computer control Motion controls Uncertain systems Robust control Tuning of proportional–integral–derivative (PID) controllers is still a challenging and global area of interest. The effectiveness and simplicity of PID controllers have proven their ease applicability to more than 95...

... approximation via neural network (NN) has been demonstrated in several studies (e.g., see Refs. [ 30 – 32 ], and references therein). As such, the NN can be used as a tool to model the unknown system uncertainties and has been widely employed to synthesize control schemes for uncertain systems in the control...