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The paper presents a method for energy efficiency analysis of servo pneumatic actuator systems. Simulation study indicated that different quantities of compressed air were consumed for one cycle of piston movement when the same controller is adopted but with different profiles for servo pneumatic actuators. This motivated the authors to investigate the profile which leads the system to use the least...
The objective of this paper is development of a formation control and station keeping control law for a constellation of satellites in a circular orbit. It is shown that by utilizing feedback linearization or nonlinear compensation technique an efficient nonlinear control design strategy may be implemented that leads to solutions valid for larger set point regulation and station keeping problems....
We present a state-feedback control of a two-link flexible-joint robot. We use three-layer neural networks to learn the unknown parts of the desired control laws. Therefore, the control algorithm does not require the mathematical model representing the robot. The neural networks' weights are adapted on-line. Therefore, the control system can adapt to changes during operation such as payload changes...
In this paper, we deal with the issue of robust delay-independent asymptotic stability and robust disturbance attenuation problem for linear parameter-dependent systems. Using Hamiltonian-Jacoby-Isaac approach, a parameter-dependent LMI optimization is obtained. It is shown that by utilizing polynomial parameter-dependent quadratic Lyapunov functions, a parameter-dependent LMI optimization problem...
In this paper a closed loop controller for variable geometry turbine (VGT) control during transient boost pressure build-up is presented. The controller is a state feedback controller with boost pressure, exhaust pressure and turbo speed as inputs. Boost pressure and turbo speed are measured states while the exhaust pressure is estimated using an observer. A constant feedforward term is added to the...
This paper is concerned with finite-horizon Hinfin tracking problems for sampled-data systems. A jump system approach is employed to analyze sampled-data systems because a jump system represents a wide class of systems, including not only continuous-time and discrete-time systems, but also sampled-data systems. Three tracking problems are considered, depending on whether the reference signals are...
We present a state-feedback control of a two-link flexible-joint robot. The control algorithm does not require the mathematical model representing the robot. Three-layer neural networks approximate the unknown plant functions. The neural network weights are adapted on-line. We use backstepping control structure together with variable structure control to provide robustness to all uncertainties. We...
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