In the case of widely-uncertain non-linear system control design, it was very difficult to design a single controller to overcome control design specifications in all of its dynamical characteristics uncertainties. To resolve these problems, a new design method of robust fuzzy control proposed. The solution offered was by creating multiple soft-switching with Takagi-Sugeno fuzzy model for optim...

A relatively optimal control is a stabilizing controller that, without initialization nor feedforwarding and tracking the optimal trajectory, produces the optimal (constrained) behavior for the nominal initial condition of the plant. In a previous work, a linear dynamic relatively optimal control, for discrete–time linear systems, was presented. Here a static solution is shown, namely a dead–be...

In this paper we investigate optimal pid control of a double integrating plus delay process and compare with the simc rules. What makes the double integrating process special is that derivative action is actually necessary for stabilization. In control, there is generally a trade-off between performance and robustness, so there does not exist a single optimal controller. However, for a given ro...

In this paper, a modified local optimal control approach is proposed for multivariable systems. As for unknown plant dynamics, system identification must be performed to obtain a model based on which the local optimal controller is designed and implemented. The proposed method guarantee closed loop stability characteristic when dealing with non-minimum phase plant which is a considerable advant...

This article presents a novel control scheme for achieving optimal power balancing and congestion control in electrical energy transmission networks via nodal prices. We develop an explicit controller that guarantees economically optimal steady-state operation while respecting all line flow constraints in steady-state. Due to these constraints, the resulting optimal control law has a piecewise ...

The problem of designing an integrated control and diagnostic module is considered. The four degree of freedom controller is recast into a general framework wherein results from optimal and robust control theory can be easily implemented. For the case of an 'If2 objective, it is shown that the optimal control-diagnostic module involves constructing an optimal controller, closing the loop with t...

This article presents a novel control scheme for achieving optimal power balancing and congestion control in electrical energy distribution networks via nodal prices. We develop an explicit controller that guarantees economically optimal steady-state operation while respecting all line flow constraints in steady-state. Due to these constraints, the resulting optimal control law has a piecewise ...

In this paper, a robust and optimal control method is proposed for the attitude control problem of multirotors. The designed controller consists of an optimal controller and a robust compensator. The optimal controller is designed based on the linear quadratic regulation control method for the desired tracking of the nominal linear system, whereas the robust compensator is introduced to restrai...

A new fuzzy maximum power point tracker (MPPT) for photovoltaic systems is proposed. Fuzzy controller input parameters dI dP , ) dI dP ( D and variation of duty cycle ( DC D ) are used to generate the optimal MPPT converter duty cycle, such that solar panel maximum power is generated under different operating conditions. A photovoltaic system including a solar panel, a fuzzy MPP tracker and...

Robust control design of vehicles addresses the effect of uncertainties on the vehicle’s performance. In present study, the robust optimal multi-objective controller design on a non-linear full vehicle dynamic model with 8-degrees of freedom having parameter with probabilistic uncertainty considering two simultaneous conflicting objective functions has been made to prevent the rollover. The obj...