In dealing with model predictive controllers (MPC), controller tuning is a key design step. Various tuning methods are proposed in the literature which can be categorized as heuristic, numerical and analytical methods. Among the available tuning methods, analytical approaches are more interesting and useful. This paper is based on a proposed analytical MPC tuning approach for plants can be appr...

Controller synthesis for linear parameter varying (LPV) systems has received a lot of attention from the control community. This is mainly motivated by the wide range of non-linear dynamical systems that can be approximated by LPV-systems. In this paper a novel method is presented that, by only using local state-space models as data, tries to solve the problem of nding a linear parameter varyin...

Controller synthesis for linear parameter varying (lpv) systems has received a lot of attention from the control community. This is mainly motivated by the wide range of non-linear dynamical systems that can be approximated by lpv-systems. In this paper a novel method is presented that, by only using local state space models as data, tries to solve the problem of finding a linear parameter vary...

This paper considers a quadratic stabilization problem by an H1 controller. The controller is constructed by a linear fractional transformation on contractive time-varying gains. The controller parameterization is given in terms of contractive time-varying gains. This free parameter can be used to improve the closed-loop response. A tuning method of time-varying gains is chosen so that a Lyapun...

We experimentally demonstrate and numerically simulate an adaptive method to maintain synchronization between coupled nonlinear chaotic oscillators, when the coupling between the systems is unknown and time-varying (e.g., due to environmental parameter drift). The technique is applied to optoelectronic feedback loops exhibiting high-dimensional chaotic dynamics. In addition to keeping the two s...

Linear Parameter Varying (LPV) systems are models widely encountered in the engineering field. In this paper, a systematic method is provided to design a polytopic observer whose goal is to reconstruct the state of discrete-time LPV systems. The method incorporates in an original manner a minimal convex polytope finding and thereby confers efficiency to the reconstruction technique. The propose...