To be Updated with new approved abstracts

The modeling and visualization aspects underpinning the analysis of the numerical simulation data of the bidirectional Fluid-Structure Interaction (FSI) characterizing the human heartbeat are discussed in details. This approach involves the general-purpose Computational Fluid Dynamics (CFD) FlowVision code, and the SIMULIA Living Heart Human Model (LHHM). LHHM is a dynamic, anatomically realistic, 4-chamber heart model having 2 mechanical valves, which couples the multiphysics electrical and mechanical fields acting during the heartbeat. Their synchronous actions regulate the heart filling, ejection, and overall pump functions. Originally, LHHM comes with a 1D fluid network model, only capable of simulating the dynamic pressure/volume changes of the intra- and extra-cardiac circulation network model. A full 3D blood circulation is numerically modeled with FlowVision, which makes possible to apply a very detailed spatial and temporal resolution for modeling the cardiac hemodynamics, together with its time-varying boundary conditions of the heartbeat. In order to validate such approach, the bidirectional coupling between the FlowVision blood flow model (CFD) and the LHHM model (FEM) is integrated with the SIMULIA co-simulation engine. The performed numerical modeling and simulations of the human heartbeat, as fluid-structure interaction multiphysics phenomena are further analyses and discussed, together with the envisaged potential applications of such coupled modeling and simulation approach. Thus, especially interesting when the device interactions are necessary to be upfront considered to correctly predict their influence in the heart diseases treatment. Finally, it is concluded that such complex multiphysics heartbeat simulations data analysis requires advance modeling and visualization techniques to achieve the multidisciplinary integration of 3D electrical, structural, and fluid numerical models, expected to move this technology towards more realistic simulations of the cardiac mechanisms and thus, create new ways to treat cardiovascular disease in the future.

Smart materials, such as piezoelectric actuator, magnetostrictive actuator and memory alloy, play an important role of micro-positioning systems. Piezoelectric actuator is widely used in micro-positioning system, and exhibits the merits of high precision, large driving force and rapid response. However, the inherent hysteresis nonlinearity, often leads to tracking error and oscillations, which prevent its industry application.
Piezoelectric actuator can be driven by direct current voltage. The existing control schemes can be divided into two categories: model-based and model-free. The first one compensates the nonlinearity by an inversed hysteresis model, which plays the role of a feed forward compensator. This method is dependent on the exact hysteresis model, and very sensitive to model error and uncertainty. Therefore, the model-free method has been paid great attentions for better performance. Xu proposed a slide mode control strategy for piezoelectric actuator without hysteresis model required. Zhang introduces disturbance observer (DOB) control for piezoelectric actuators using robust design. Combined with mode-based feed forward compensation and feedback control, an asymmetric hysteresis model is used for the composite control.
Extended state observer (ESO) is originated from active disturbance rejection control (ADRC). The key idea of ESO is to regard model uncertain and external disturbance as an equivalent disturbance and make the real-time observation and compensation. Unlike the traditional disturbance observer, ESO exhibits strong ability in disturbance rejection by an extended state. It has been paid more and more attention in control theory and engineering.
Recently, a new model reference control scheme has been proposed in some literatures. Different from the existing adaptive reference control, disturbance rejection technology was employed for the model reference compensation. The goal of the paper is to apply this method to a real piezoelectric actuator. The remainder of this paper is organized as follows. Section 2 introduce the mechanism of piezoelectric actuator. Section 3 presents the transformation of equivalent feedback model (EFM) and the proposed control scheme. Section 4 shows the experiment results to verify the effectiveness of the control method. Section 5 draws the conclusions.

It is easy to check that both algebraic equation $Det (hat p - m) =0$ and $Det (hat p + m) =0$ for $u-$ and $v-$ 4-spinors have solutions with $p_0= pm E_p =pm sqrt{{bf p}^2 +m^2}$. The same is true for higher-spin equations. Meanwhile, every book considers
the equality $p_0=E_p$ for both $u-$ and $v-$ spinors of the $(1/2,0)oplus (0,1/2))$ representation only, thus applying the Dirac-Feynman-Stueckelberg procedure for elimination of the negative-energy solutions. The recent Ziino works (and, independently,
the articles of several others) show that the Fock space can be doubled. We re-consider this possibility on the quantum field level for both $s=1/2$ and higher spin particles.

Active disturbance rejection control (ADRC) is a new kind of control technology which improves the inherent tradeoff between fast response and overshoot in the classic PID control. The basic idea of ADRC control technology is regarding the model uncertainties, external disturbances and even nonlinearity as a total disturbance, which is estimated and actively compensated by an extended state observer (ESO). After that, pole placement is easily achieved by state feedback for the desired closed-loop system. ADRC has some remarkable advantages, with small overshoot, fast respond, high precision, strong robustness, and simple tuning rules. Many ADRC applications have been reported in the literatures, such as load frequency control, magnetic rodless pneumatic cylinder, and diesel engines. Originally, ADRC is a control technique proposed by Prof. Han in the form of nonlinear feedback, including a tracking differentiator for the desired response reference and nonlinear state error feedback for the control input and a nonlinear ESO for the state and disturbance estimations. However, complex control structure and nonlinear parameter tuning make it hard to implement with digital computer and limit its practical application. To simplify the tuning process, Gao proposed the linear active disturbance rejection control (LADRC) where linear ESO and state feedback are used. Furthermore, bandwidth parameterization method is proposed to reduce the number of parameters for ADRC to two bandwidth parameters, which are closely related to the tracking and disturbance rejection performance of the controlled system. Tan shown that linear ADRC structure can be changed to a two-degree-of-freedom internal model control (IMC) structure. The analysis of LADRC can be done via the IMC framework by tuning two time constants of the setpoint filter and the disturbance rejection filter in IMC. Although many remarkable applications and improvements are made to ADRC, the existing ADRC design and parameter tuning methods still have limitations. Firstly, we know that ADRC is independence of accurate mathematic model, but it demands the accurate relative degree for the extended state observer design. When the relative degree of the plant is changing, it is necessary to redesign ESO and controller parameters. Second, there is a strict requirement on the minimum-phase (MP) plant or non-minimum phase (NMP) plant because the designs for these two cases are fundamentally different. If uncertainties cause right-half plane (RHP) zero involved, the system would become unstable. This paper first introduces an integral action in the control structure of ADRC to improve the tracking error. For the uncertainties that would cover RHP zeros, full-dimension ESO is used in ADRC, which will also allow relative-degree changing. The control system can be simply tuned by bandwidth-parametric method with better performance. Finally, the validity of the proposed method and its advantages are demonstrated through the simulations of comparative examples.

Planetary radar astronomy, interplanetary radar measurement gives an important information about solar system, and one can worry whether the mathematical and theoretical interpretation ad hoc in terms of the Doppler phenomena is in fact justified? Another phenomenon is the Compton reaction, and both different physical phenomena oers almost the same mathematical expressions, however, with deeply distinct conceptual meaning.
A circularly polarized radio signal of a given frequency is transmitted from the ground to the moving planet, to the moving Moon, and to the moving spacecraft. Radar signal is re-transmitted (in fact reflected) and received at the ground at a reflected frequency: The textbooks and scientific journals publications claim that the difference between frequencies is caused by the Doppler shift. How much is such interpretation correct?
The Christian Doppler (1803-1853) discovery in 1842 was the relativity of the radiation energy: radiation energy (radiation colour) depends on the choice of a reference body. With respect to a system of three reference bodies the given radiation possesses three different energies (three different frequencies). The radiation possesses the absolute non-spacelike energy momenta but if a reference body is not selected then does not exists the relative energy/frequency of radiation. Thus, the radiation energy is the explicit function of two variables, depends on a timelike reference body and depends on a non-spacelike radiation. In this paper I am arguing that the planetary radar astronomy must be based on the Compton phenomena of the energy-momenta conservation.
The journals publications claim that the difference between frequencies is caused by the Doppler shift.
How much is such interpretation correct?

An analog of the $S=1/2$ Feynman-Dyson propagator is presented in the framework of the $S=1$ Weinberg's theory.The basis for this construction is the concept of the Weinberg field as a system of four field functions differing by parity and by dual transformations.
Next, we analyze the recent controversy in the definitions of the Feynman-Dyson propagator for the field operator containing the $S=1/2$ self/anti-self charge conjugate states in the papers by D. Ahluwalia et al. and by W. Rodrigues Jr. et al. The solution of this mathematical controversy is obvious. It is related to the necessary doubling of the Fock Space (as in the Barut and Ziino works), thus extending the corresponding Clifford Algebra. However, the logical interrelations of different mathematical foundations with the physical interpretations are not so obvious (Physics should choose only one correct formalism - it is not clear, why two correct mathematical formalisms (which are based on the same postulates) lead to different physical results.)

The holographic principle, conjectured to be a consequence of string theory and quantum gravity, may be a more general organizing principle within the universe. The isonilpotent generalization of the nilpotent structure of the fermion state implies that every system which obeys the fundamental conservation principles of energy, momentum and angular momentum, has a nilpotent or isonilpotent structure as a square root of zero. If the universe is a zero totality zero, then a system or discrete object of any size can only obey conservation principles, if the rest of the universe is mathematically structured as its dual or mirror image. The nilpotent representation is founded on a double space structure, with a form determined by the nature of the system. Typically, then, to specify a system, we require just two dimensions of one of these spaces. These may be manifested as a physical pairing of terms, such as energy and momentum, energy and time, momentum and position, space and time, or even two different aspects of angular momentum. These become the ‘areas’ of the holographic principle, which can also be correlated with real areas. The different representations can be correlated as manifestations of the way in which the ‘information’ driving physical and other systems is both stored and recovered.