MEA are advanced next-generation aircraft that use more electrical systems to reduce the nonpropulsive power systems such as mechanical, hydraulic, and pneumatic systems. This has resulted in a reduction in the weight of the aircraft, leading to a low cost of ownership, usage of less fuel, a reduction in emissions, increased reliability, and other added benefits. The global MEA market is expected to grow at a CAGR of 3.79% during the period 2014-2019. In 2014, the market was led by the Americas with 34.79%, followed by APAC and EMEA with shares of 33.61% and 31.59%, respectively.

HSR is a type of rail transport that runs at speeds exceeding 150 mph, and is considered one of the fastest, safest, and most environment-friendly modes of railway transport today. Advantages such as reduced travel time, reliability, and the option to avoid air travel for shorter distances have made HSR systems an integral part of the transportation sector in developed countries, especially in Europe and APAC. The global demand for HSR has increased considerably in the past few years as they connect both urban and remote areas.

Economic uncertainty in the European Union has negatively impacted the luxury yacht market; however, the yacht market is expected to improve over the forecast period.

The global aerospace and marine data recorder market is segmented into flight data recorder (FDR), cockpit voice recorder (CVR), and voyage data recorder (VDR), which are used for both commercial and defense applications. While the CVR records radio transmissions, pilot's voices, and engine noises, the FDR preserves a recording of the operating functions of a plane such as time, altitude, fuel levels, and airspeed. Similarly, the VDR records data such as wind speed and direction, the ship's location, and the direction that the ship is traveling. The data recorded from these devices is retrieved and used for investigating accidents.

The mixed controller design problem of Dynamic Positioning Systems for Ships (DPSS) is discussed in this paper. Based on the H_2 control scheme, passivity theory and Lyapunov function, the sufficient conditions are derived into Linear Matrix Inequality (LMI) problems which can be solved by convex optimization algorithm. Therefore, the mixed performance controller can be designed via solving proposed sufficient conditions for guaranteeing the mixed performance of DPSS with minimized output energy and initial conditions. Finally, the simulation results are presented to demonstrated the effectiveness and useful of the proposed design method.

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A modular flight control strategy is presented here to demonstrate the improved command tracking performance with fault tolerance and reconfiguration capabilities. The modular control design process consists of inner and outer loop design concept, where outer baseline controller feedback loop ensures the stability and robustness and inner reconfigurable design is responsible for the fault-tolerance against actuator faults/failures. This guarantees augmented autonomy and intelligence on board aircraft for real time decision and fault tolerant control. Requirements for aerospace cyber physical systems (ACPS) and software are far more stringent than those found in industrial automation systems. The results shows that fault tolerant aspect is mandatory for ACPS, that must support real time behavior and also requires ultra-high reliability as many systems or/sub-systems are safety critical and require certification.

In this chapter, a new technique for multivariable closed-loop identification is presented. On the basis of process input and output data in the control loops, the process frequency-response matrix is estimated with signal decomposition and frequency spectrum analysis, and then a transform-function matrix is identified by least square method. The required input and output data are obtained while the processes are still in normal closed-loop operation. The closed-loop identification is applied to the boiler-turbine coordinated control system of power unit. Simulation example is given to show both effectiveness and accuracy of the identification method for boiler-turbine unit.