This paper proposes a novel model-free trajectory tracking of multiple-input multiple-output
(MIMO) systems by the combination of iterative learning control (ILC) and primitives. The …

Twin-rotor two-input two-output (TITO) aerodynamical system (TRAS) is a highly non-linear
system with a cross-coupling effect. The objective of the controller design in TRAS is to track …

μ-synthesis is a NP-hard optimization problem based on the generalized Robust Control
framework which manages to find a controller which fulfills both robust stability and robust …

Mass distribution variations in helicopters cause significant adverse effects on helicopter
flight. These variations are triggered by unwanted torques. These unwanted torques must be …

This paper presents an application of fractional order controller for the control of multi input
multi output twin rotor aerodynamic system. Dynamics of the considered system are highly …

We investigate active learning in Gaussian Process state-space models (GPSSM). Our
problem is to actively steer the system through latent states by determining its inputs such …

This paper presents a new method for modelling of dynamic systems by using specially
designed orthogonal polynomial neural networks. These networks utilize the feature that the …

This paper illustrates an efficient controller design technique for the control of a laboratory
setup, known as two-rotor aerodynamical system (TRAS). A decentralized control of TRAS …

This paper proposes the modeling of uncertainty design of a two degree of freedom (2-DOF)
nonlinear helicopter model with nine uncertain parameters. This approach is developed …

This paper proposes data-driven Model-Free Control (MFC) algorithms for Multi Input-Multi
Output (MIMO) twin rotor aerodynamic systems. A discrete-time formulation of the algorithms …