Adaptive systems in Systems Analysis and Design (SAD) refer to systems that are capable of adjusting and evolving in response to changes in their environment or requirements. These systems are designed to be flexible and responsive to ensure that they continue to meet the needs of users and the organization over time. Adaptive systems are particularly important in today's fast-paced and dynamic business environment.
Adaptive systems are ones that are continually changing to meet the demands of the environment. Non-adaptive systems do not change.
Robert K. Tyson has written: 'Principles of adaptive optics' -- subject(s): Adaptive Optics, Optics, Adaptive 'Astronomical adaptive optics systems and applications III' -- subject(s): Congresses, Adaptive Optics, Astronomical instruments, Imaging systems in astronomy, Design and construction 'Lighter side of adaptive optics' -- subject(s): Adaptive Optics, Humor, Imaging systems in astronomy, Optics, Adaptive
Complex adaptive systems are systems that change and restructure themselves based on changes in their environment. These types of systems can range from ant colonies to global economy investments. Perhaps one of the best examples of complex adaptive systems is the internet.
Jing Zhou has written: 'Adaptive backstepping control of uncertain systems' -- subject(s): Feedback control systems, Nonlinear control theory, Adaptive control systems
Dietmar Holtgrewe has written: 'Adaptive Regelung flexibler Roboter' -- subject(s): Control systems, Robots, Adaptive control systems
Complex adaptive systems are dynamic networks of interactions and feedback loops where the behavior of the system as a whole emerges from the interactions of its individual components. These systems exhibit properties such as self-organization, emergence, and adaptability in response to changes in their environment. Examples include ecosystems, social networks, and the human brain.
Hermann Rohrer has written: 'A supervised network of adaptive automata for pattern recognition' -- subject(s): Adaptive control systems, Pattern recognition systems
Adaptive systems have the ability to respond to changes in their environment for better survival and growth. They can adjust and evolve based on new information, making them more likely to thrive in dynamic conditions. Non-adaptive systems may struggle to cope with change and are at a higher risk of becoming obsolete or obsolete.
Michael K. Masten has written: 'Design of adaptive control systems through utilization of sensitivity concepts' -- subject(s): Adaptive control systems
William H. Boykin has written: 'Small scale adaptive optics experiment systems engineering' -- subject(s): Adaptive Optics, Optics, Adaptive
Adaptive delta modulation is used in audio communication systems to avoid the two drawback of delta modulation.
An adaptive-control system is the part of a control system which dynamically updates the parameters of an optimizing control function or direct control function.