Abstract Model Order Reduction (MOR) has demonstrated its robustness and wide use in
engineering and science for the simulation of large-scale mathematical systems over the last …

This paper presents a new design technique to determine the optimal values of proportional–
integral–derivative controller gains of an automatic voltage regulator, using the evolutionary …

In this contribution, order reduction of self-balanced-bicycle-robot (SBBR) controller is
proposed by incorporating rank-order-centroid (ROC) based method utilizing grey-wolf …

In this paper, a new simplified Routh approximation technique is proposed for the model
order reduction (MOR) of large scale linear time-invariant systems. In reduced order …

The design of prescribed performance fuzzy back-stepping tracking control for a flexible air-
breathing hypersonic vehicle (FAHV) with actuator constraints is discussed. Fuzzy logic …

Balancing a two-wheeled scooter is considered a challenging task for robots, as it is a non-
linear control problem in a highly dynamic environment. The rapid pace of development of …

This paper proposes a new model order reduction method for the large-scale dynamic
systems using the factor division approach to allow the preservation of dominant poles. For a …

In recent years, more and more scientists have been interested in research on driving two‐
wheel bicycles. The problems in two‐wheel bicycle control problem are self‐balancing …

Most of the physical structures may be described in terms of mathematical models. The
mathematical methods of system modelling also lead to a thorough explanation of the …

In this proposal, systematic learning-based approximation of higher-order (HO) system is
performed utilising rank-exponent (RE) assisted weight determination method incorporating …