Resilience is defined as the capacity of a system to control successfully its stable or unstable states. The states are defined by gaps between Cyber-Physical Systems (CPS) and humans or between Cyber-Physical&Human Systems (CPHS) in terms of factors such as perception, intention, belief, behavior or emotion. These gaps are interpreted as discrepancies called dissonances. The successful control of dissonances makes the CPHS resilient. The paper proposes a dissonance oriented stability analysis approach. It is based on dissonances between CPS and humans, i.e. on conflicts of perception, of intention, of behavior, or of use for instance. The impact analysis of dissonance focuses on the identification of possible positive or negative, stable or unstable consequences of dissonances. Examples about dissonances on transportation and healthcare illustrate the interest of the proposal that is capable to detect possible dangerous dissonances due to an excess of stability and a breakdown of stability of assessed gaps.