Pseudoextended Bouc–Wen Model and Adaptive Control Design With Applications to Smart Actuators

Dynamic Modeling of McKibben Muscle Using Empirical Model and Particle Swarm Optimization Method

“…According to research conducted by Oh and Bernstein in 2005, hysteresis is a quasi-static phenomenon in which a sequence of periodic inputs produces a nontrivial input-output loop as the period of input increases without bound [37]. This phenomenon arises in diverse fields ranging from physics to biology, from material science to mechanics, and from electronics to economics [38,39]. The focus in this paper is on the inherent hysteresis phenomena in McKibben muscle.…”

“…This identification technique is known as parametric identification. In this technique, the system parameters can be estimated using several methods such as least mean square, recursive least square, genetic algorithm and particle swarm optimization [38,39]. Recently, particle swarm optimization method has become major contributions within the control application because of its powerful application.…”

“…Most of the approaches used in characterizing the hysteresis behavior are either by the law of physics or the phenomenological method [50]. For example, empirical model is established based on the principle of physics, such as the relationships of energy, displacement, and geometric configuration [39]. However, it is not easy to describe a model by this principle because the physical feature of a hysteretic system is usually very complicated.…”

Adaptive Control of a Piezo-Positioning Mechanism With Hysteresis and Input Saturation Using Time Delay Estimation

“…There are four main methods for hysteresis modeling. The first is the physics-based modeling method, which mainly includes Jiles-Atherton model [9], Maxwell-slip model [10] and so on; The second method is based on differential equations, including Bouc-Wen model [11], Duhem model [12], and so on; The third one is based on operators, which includes Preisach model [13], Prandtl-Ishlinskii model [14], etc. The last one is intelligent modeling method based on computational intelligence, such as neural network model [15] and support vector machine model [16].…”

Finite-Time Control for Piezoelectric Actuators With a High-Order Terminal Sliding Mode Enhanced Hysteresis Observer

“…However, the Bouc-Wen model are effective to describe the rate-independent hysteresis. As a matter of fact, the hysteresis effect of PZTs is rate-dependent [13]. Besides, the open-loop controller is sensitive to the modeling accuracy.…”