State estimation is widely used in various automated systems, including IoT systems,
unmanned systems, robots, etc. In traditional state estimation, measurement data are …

Research and industrial studies have indicated that small size, low cost, high precision, and
ease of integration are vital features that characterize microelectromechanical systems …

This article considers the parameter estimation problems of block‐oriented nonlinear
systems. By using the key term separation, the system output is represented as a linear …

In this article, an approximation-based adaptive fractional sliding-mode control (SMC)
scheme is proposed for a microgyroscope, where a double-loop recurrent fuzzy neural …

Smart agricultural sensing has enabled great advantages in practical applications recently,
making it one of the most important and valuable systems. For outdoor plantation farms, the …

Based on the collected weather data from the agricultural Internet of Things (IoT) system,
changes in the weather can be obtained in advance, which is an effective way to plan and …

Agriculture is necessary for all human activities to survive. Overpopulation and resource
competitiveness are major challenges that threaten the planet's food security. Smart farming …

Air pollution (mainly PM2. 5) is one of the main environmental problems about air quality. Air
pollution prediction and early warning is a prerequisite for air pollution prevention and …

This article considers the parameter estimation for a special bilinear system with colored
noise. Its input‐output representation is derived by eliminating the state variables in the …

The current serious air pollution problem has become a closely investigated topic in
people's daily lives. If we want to provide a reasonable basis for haze prevention, then the …