Reduced-order Interval-observer design for dynamic systems with time-invariant uncertainty
IFAC World Congress (IFAC)
This paper addresses the design of reduced-order interval-observers for dynamic systems with time-invariant uncertainty. Because of the limitations of using the set-based approach to preserve the time dependency of parameter uncertainty and the wrapping effect to deal with interval-observers, the trajectory-based interval-observer approach is used with an appropriate observer gain. But, there could be some diculties to satisfy the conditions for selecting a suitable gain to guarantee the positivity of the resulting observer. Then, a reduced-order observer is designed to reduce the computational complexity and to increase the degree of freedom when selecting the observer gain. Finally, a simulation example is employed for illustrating and analyzing the eectiveness of the proposed approach.
automation, observability, optimisation.
Uncertain dynamic system, interval observer, set-based observer, reduced-order observer
M. Pourasghar, V. Puig, C. Ocampo-Martínez and Q. Zhang. Reduced-order Interval-observer design for dynamic systems with time-invariant uncertainty, 20th IFAC World Congress, 2017, Toulouse, France, IFAC, to appear.