In the present contribution we develop a single invutsingle o-utput fuzzy model-based metti-od for~he de'sign and synthesis of optimal tracking control systems. Optimal tracking control systems re-present a particular class of quadratic control that are based on a pure quadratic trackin..g error, criterion . The resulting.control strategy maintains the output close to a pre-specffied setpoint.-The control strateg~r is continuously adapted by a receding horizon predictive algorithm that computes at each time step an adjustment for the extended control sequence and applies effectively only the first value of this sequence. The ~,ey idea of the algorithm, is the derivation of the ad~bint system associated with a fuzzy dynamic system. This adjoint system can be represented as a fuzzy system so that, only linguistic models are used. The main advantage of this approach is the extension of optimal control results in order to handle fuzzy dynamic systems that can be the only available description of a possibly highly nonlinear plant. An adaptive version of this algorithm can be. easily developed and implemented. Numerical simulation results illustrate the applicability of the approach to a simple indoor climate ~dntrol system.