... condition. Optimal stabilization problem has also attracted much attention during the past decades. The target of optimal control is to construct control laws such that a prescribed optimality criterion could be obtained. The difficulty of optimal control of nonlinear systems is that it has to solve...

...; final manuscript received January 30, 2019; published online March 25, 2019. Assoc. Editor: Yongchun Fang. 08 12 2017 30 01 2019 disturbance attenuation nonlinear disturbance observer nonlinear systems quadrotor unmanned aerial vehicles The baseline controller used...

.... 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...

...Elmira Madadi; Yao Dong; Dirk Söffker The design of accurate model often appears as the most challenging tasks for control engineers especially focusing to the control of nonlinear system with unknown parameters or effects to be identified in parallel. For this reason, development of model-free...

...; published online August 1, 2018. Assoc. Editor: Tesheng Hsiao. 24 09 2017 29 06 2018 Modeling and simulation Motion controls Nonlinear systems Robotics Dynamic systems Control Autonomous and nonautonomous operations of any electromechanical systems, in particular robots...

.... Editor: Soo Jeon. 16 07 2017 22 06 2018 Modeling and simulation Nonlinear systems Sensor networks Vibration control Dynamic systems Control The measurement of the deformations of structural elements can be realized by vibrating wire sensors. These devices have a simple...

...Jang-Hyun Park; Seong-Hwan Kim; Tae-Sik Park A novel output-feedback controller for uncertain single-input single-output (SISO) nonaffine nonlinear systems is proposed using high-order sliding mode (HOSM) observer, which is a robust exact finite-time convergent differentiator. The proposed...

... the nonlinear system model to be used for the PIO structure. On the other hand, BC is utilized based on nonlinear system model to construct the Lyapunov function and to design the control input simultaneously. Stability or negativeness of the derivative of every-step Lyapunov function is fulfilled. Structural...

...Jiguo Dai; Beibei Ren; Qing-Chang Zhong This paper proposes an uncertainty and disturbance estimator (UDE)-based controller for nonlinear systems with mismatched uncertainties and disturbances, integrating the UDE-based control and the conventional backstepping scheme. The adoption...

...Mohammad Reza Amini; Mahdi Shahbakhti; Selina Pan Sliding mode control (SMC) is a robust and computationally efficient model-based controller design technique for highly nonlinear systems, in the presence of model and external uncertainties. However, the implementation of the conventional...

...; published online June 18, 2018. Assoc. Editor: Ardalan Vahidi. 31 05 2017 09 05 2018 Control theory Manufacturing technology Modeling and simulation Nonlinear systems Real time control Dynamic systems Control The gas metal arc welding (GMAW) process is one of the most...

... received March 19, 2017; final manuscript received May 8, 2018; published online June 18, 2018. Assoc. Editor: Douglas Bristow. 19 03 2017 08 05 2018 Control theory Nonlinear systems Control Averaging methods were first used in celestial mechanics in the 19th century. The use...

... manuscript received May 10, 2018; published online June 18, 2018. Assoc. Editor: Srinivasa M. Salapaka. 29 11 2017 10 05 2018 Control theory Mechatronics Nonlinear systems Control Classical control and linear quadratic regulator (LQR) are well-established and extensively...

... OURNAL OF D YNAMIC S YSTEMS , M EASUREMENT, AND C ONTROL . Manuscript received November 18, 2017; final manuscript received May 4, 2018; published online June 4, 2018. Assoc. Editor: Mahdi Shahbakhti. 18 11 2017 04 05 2018 Automotive controls Nonlinear systems Control...

... with the cost function defined as (9) E ̂ ( k + 1 ) = 1 2 e ̂ 2 ( k + 1 ) 09 10 2017 30 04 2018 Adaptive Computer control Intelligent control Nonlinear systems Real time control System identification Optimal control Control Discrete...

... 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...

... Nagamune. 19 04 2017 02 05 2018 Energy systems Instrumentation Nonlinear systems Control systems Control Components Grid stability and energy quality are an increasing concern due to the significant rise of wind turbines (WT) connections [ 1 , 2 ], especially...

... EASUREMENT, AND C ONTROL . Manuscript received May 20, 2017; final manuscript received March 15, 2018; published online May 3, 2018. Assoc. Editor: Sergey Nersesov. 20 05 2017 15 03 2018 Nonlinear systems Transportation Control Bio-medical systems Diabetes, a chronic...

... 2, 2018. Assoc. Editor: Dumitru I. Caruntu. 30 06 2017 02 03 2018 Control theory Modeling and simulation Nonlinear systems Dynamic systems Control Over the past few decades, neural networks have been deeply discussed and have been finding a wide range of applications...

... for such uncertain and nonlinear systems is model reference control (MRC). MRC modifies the plant behavior so that its states asymptotically track the states of a desirable reference model. The reference model effectively specifies the performance requirements, and that feature makes MRC very useful when controlling...