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The successful development of new products relies on the capability of assessing the performance of conceptual design alternatives already in an early design phase. In recent years major progress was made in this direction, based on the extensive use of virtual prototyping, particularly in the automotive industry. The efficiency of present CAE techniques allows the use of optimization for improving the NVH and sound quality characteristics of a full vehicle. Additionally, active control has shown the potential to enhance dynamic system performance which allows for lighter and improved products. Research done in the last years on smart materials and control concepts has led to practical applications with promising results for the automotive industry. However, to make the step into the design of active sound quality control (ASQC), the control schemes, along with appropriate simulation procedures, need to become an integral part of the development process. This requires: i) the control strategies and product performance metrics to be based on human perception attributes and ii) the simulation models to support the specific aspects related to smart structures (active systems, actuators, sensors and control logic). This paper discusses two types of ASQC systems: i) a collocated velocity feedback controller designed to reduce the total sound pressure level and ii) an adaptive feedforward controller that allows tuning and balancing order components. The control design and sound quality performance of both control systems is demonstrated on a vehicle mock-up.