Real-time control algorithms are designed based on the characteristics of the controlled plants and they require good performance without delays. However, digital control implementation typically introduces delays and jitters due to insufficient CPU processing power and the limitations of the real-time scheduling method used. This can degrade the system performance or even make it unstable. In this paper we propose an integrated approach for control design and real-time scheduling, suitable for both discrete-time and continuous-time controllers. It guarantees system performance by accepting a certain minimum value of jitter for control tasks and feasibly schedules them together with other tasks in the system. Results from comparison with other approaches from real-time and control theory domains underline the effectiveness of our method.