On the other hand, flatness is an important property which one can use for designing a control, since a flat system can be considered as a controllable system. In fact for linear systems controllability and flatness are equivalent. The system is flat if there exists an artific[r]
Recently, there has been considerable effort to develop theoretical and computational frameworks for complex control problems. Of particular importance is the ability to operate such systems in an optimal manner. In many real-world applications a controlled mechanical system pre[r]
9.6 Conclusions In this chapter we have addressed the adaptive control problem when unknown parameters occur nonlinearly. We have shown that the traditional gradient algorithm fails to stabilize the system in such a case and that new solutions are needed. We present an adaptive contr[r]
Systems, ASHRAE Transactions, vol. 107, pp.346-352. [21] Nippert, C.R. (2002), Simple Models that Illustrate Dynamic Matrix Control. In: Proceedings of the American Society for Engineering Education Annual Conference & Exposition, pp.3513-3520. Zhicheng Li received his MS de[r]
DCS can be considered a special case of digital control systems, as data is sent through the network periodically, in units called packages. Therefore, any signal continuous in time must be sampled to be carried over the network. Real-time assumptions are as important for DCS[r]
This paper proposes a nonlinear control of dynamic voltage restorer (DVR) based on a feedback linearization (FL) theory to improve a low-voltage ride-through (LVRT) capability of a dou[r]
These results shows that the variation lead to the variation in flux and the torque. The response of the system is positive, the speed follow its reference value while the torque return to its reference va lue with a little error. b) Robust control for load variatio[r]
This article highlights a robust adaptive tracking control approach for a nonholonomic wheeled mobile robot by which the bad problems of both unknown slippage and uncertainties are dealt with. The radial basis function neural network in this proposed controller assists unknown smooth nonlinear dynam[r]
This paper proposes a nonlinear control of dynamic voltage restorer (DVR) based on a feedback linearization (FL) theory to improve a low-voltage ride-through (LVRT) capability of a doubly fed induction generator (DFIG) wind turbine system.
separation for approaching aircraft. It is first shown that the minimum-distance point of the aircraft determines their flight angles. With this result in hand, the algorithm is described and an analytical proof of the algorithm is given for idealized flight paths.[r]
the plant model. If the model is a good approximation of the plant, then one would hope that the controller performance for the plant model would be close to that achieved when the same controller is applied to the plant. Because the plant model is always an approximation of[r]
This thesis investigates adap-tive control of nonlinear discrete-time systems using neural networks, effecadap-tive neural network control schemes, corresponding weights update laws and [r]
For a successful interaction, the basis of our system is con- stituted by a robust and continuous tracking of possible com- munication partners and an attention control for interacting, not only with one person like in the object demonstration but with multi[r]
An adaptive controller of the major function for an aerial vehicle''s (AV) longitudinal motion with account for the wing aeroelasticity is discussed in this research. A nonlinear mathematical model of resilient aircraft''s longitudinal motion is designed. Adaptive control system of a resilient AV is[r]
1. Introduction Dynamical systems are often nonlinear in nature. It motives people to explore various theoretical nonlinear analysis and control design tools, of which constructive nonlinear design methods are the most celebrated ones. However, applying a
The main objective in HDD servo system design is to ensure fast track seeking and pre- cise track following in the face of power limitation, various disturbances and uncertainties in real application environment. Hence, closed-loop control has to be designed and imple- mented. This i[r]
This paper focuses on boundary control of distributed parameter systems (also called infinite dimensional systems). More precisely, a passivity based approach for the stabilization of temperature profile inside a well-insulated bar with heat conduction in a one-dimensional system described by parabo[r]
Levin, A. & Narendra, K. (1996), Control of Nonlinear Dynamical Systems us- ing Neural Networks-Part II: Observability, Identification, and Control, IEEE Trans. Neural networks, Vol. 7, pp. 30-42. Loria, A.; Panteley, E.; Nijmeijer, H. & Fos[r]