That depends.
No, it's not new, because Klippel isn't the first to actively "control" loudspeakers. The basic idea of monitoring the movement of the diaphragm and correcting deviations has been around since the 1960s and 1970s. Particularly well-known are the Motional Feedback Systems (MFB) from Philips and the sensor-based controls from Backes & Müller. Both approaches work with a real mechanical sensor on the loudspeaker – usually an accelerometer or other motion sensor – that measures how the diaphragm actually moves. This signal is then compared with the input signal and corrected via a closed control loop. So if the diaphragm deviates from the desired movement pattern due to motor nonlinearities, the suspension, or the influence of the enclosure, the electronics intervene and counteract this. The goal is to track the diaphragm movement as precisely as possible, thereby significantly reducing distortion and improving control of the low-frequency range.
Yes, it is new, because while Philips and Backes & Müller use real sensors, Klippel attempts to calculate the membrane movement from a physical model of the loudspeaker. The system simply measures electrical variables such as voltage and current at the voice coil and combines these with detailed parameter models of the driver. This data is used to estimate in real time how the diaphragm is currently moving, and the drive signal is corrected accordingly. You could say that instead of measuring the movement directly, it is calculated virtually.
The real innovation lies not so much in the idea behind the control system itself—which has been around for a long time at Philips and Backes & Müller, for example—but in the way it is implemented. Klippel replaces the physical sensor with a mathematical model and uses the DSP computing power available today to apply this model in real time. This allows similar corrections to be made even with standard speaker chassis, without the need to integrate a special sensor into the driver. This is particularly interesting for series products because it reduces mechanical complexity.
Klippel uses a virtual "this is how this driver should behave in this situation" based on data measured in advance from a driver prototype and feeds this data into the correction program of the purely electronic circuit without mechanical sensors.
I find this approach highly interesting, even for very high-quality loudspeakers and not just for small Bluetooth devices.