... systems computational methods computer-aided control design control applications dynamics and control model validation modeling multibody systems nonlinear control nonlinear systems robotics robust control unmanned vehicles vehicle dynamics and control Mobile robots consist...

... design can play a key role in producing a solution. This paper seeks to add to prior work by incorporating a Schnider PK model with the Wilson–Cowan neural mass model to use as a basis for robust control design of biophysical burst suppression dynamics. We add to this framework actuator modeling, real...

... 2022 31 01 2022 nonlinear control renewable energy robust adaptive control robust control uncertain systems Wind energy is increasingly becoming a significant source of clean energy. However, its market penetration has been affected adversely by high costs related...

... systems control applications emerging control approaches energy/power systems H-infinity control robust control uncertain systems The main challenge in jet engine control arises from the need to track either fan speed (N1) or engine pressure ratio (EPR) setpoints while keeping a set...

.... 3766 – 3783 . 10.1002/rnc.3594 [12] Karimi , A. , and Kammer , C. , 2017 , “ A Data Driven Approach to Robust Control of Multivariable Systems by Convex Optimization ,” Automatica , 85 ( 85 ), pp. 227 – 233 . 10.1016/j.automatica.2017.07.063 [13] Singhose , W...

... 2020 18 09 2020 rotary drilling system Lyapunov stability theorem integral sliding mode trajectory control drill-bit and rotary table speed synchronization complex systems control applications dynamics and control energy/power systems flexible structures nonlinear control robust...

... automotive systems intelligent transportation systems linear systems robust control vehicle dynamics and control Highly automated vehicles (HAVs) are under intense development, and much of the testing has happened on public roads. Real-world test is beneficial for the HAV development...