An efficient adaptive backstepping control method is presented in the current study for
controlling the micro-electro-mechanical system (MEMS) triaxial gyroscope. In this …

In this paper, an efficient adaptive control is designed for chaotic Permanent Magnet
Synchronous Motors (PMSMs) with full-state asymmetric time-varying constraints in the input …

This paper studies the PWM control problem of a class of nonlinear systems. During a
modulation period, the PWM control signal maintains a pulse waveform with tunable width …

In this study, the adaptive backstepping control of a class of multi‐input multi‐output
nonlinear systems with immeasurable states, structural uncertainties and periodic …

Cancer is one of the leading factors of human mortality. The main goal of this article is to
present and control a tumor treatment immunity. It can adaptively benefit from the …

This paper presents a function approximation technique based immersion and invariance
adaptive controller for chaos synchronization between nonidentical systems with unknown …

Any multi-objective optimization algorithms are usually introduced by developing a single-
objective algorithm. In the current study, a recently developed physics-based algorithm …

Kemoterapi kanser hastalığının tedavisinde yaygın olarak kullanılan bir yöntemdir.
Kemoterapi tedavisinde kanser hastasını olumsuz etkilemeyecek şekilde optimal ilaç …

Androgen deprivation therapy (ADT) is a widely used treatment method for prostate cancer.
The therapy uses drugs to reduce the hormone level to minimize the population of tumor …

This paper develops a robust regressor-free controller for n-link robots with state constraints.
We use the function approximation technique to represent the uncertain robot dynamics. Our …